Starting as a new Chief Information Officer or Chief Technology Officer is an exciting and challenging role. You will be responsible for leading the technology strategy and initiatives for your organisation – bridging the gap between technology and business objectives.

 

Why the business needs a new technology leader

There are a few different reasons why businesses may appoint a new CIO or CTO. One common reason is that the organisation’s current IT systems or processes are not meeting their needs and are in need of modernisation. This might be because the systems are outdated, inefficient, or not well-suited to the needs of the business. In these cases, the CIO will be responsible for identifying the issues with the current systems, developing a plan to modernize them, and implementing those changes.

Another reason why businesses may appoint a new CIO is that they have recently received investment or are experiencing significant growth. In these cases, the organisation may need to scale up its IT infrastructure and capabilities in order to support that growth. The CIO will be responsible for developing a plan to expand and enhance the organisation’s IT capabilities and implementing those changes.

Regardless of the reason for appointing a new CIO, the role is typically focused on driving the organisation’s technology strategy and initiatives, and ensuring that the IT systems and processes are aligned with the overall goals and objectives of the business. The CIO will work closely with other executives, IT staff, and business leaders to identify opportunities for using technology to improve the organisation’s operations, and will be responsible for implementing those changes.

 

Considerations to succeed in your role

Understand the business goals and priorities: As the CIO, you will need to align your technology strategies with the overall goals and objectives of the organisation. Take the time to get to know the business and understand what the key priorities are. This will help you identify the areas where technology can add the most value.

Build relationships with key stakeholders: As the CIO, you will be working closely with a wide range of stakeholders, including executives, IT staff, and business leaders. Building strong relationships with these individuals will be critical to your success. Take the time to get to know them, understand their needs and concerns, and work collaboratively to find solutions.

Assess and optimize the current IT infrastructure: Before you can develop new strategies and initiatives, you will need to understand the current state of the organisation’s IT infrastructure. Take the time to assess the systems, processes, and technologies that are in place, and identify areas where improvements can be made. This will help you make informed decisions about where to invest your time and resources.

Typically we help CIOs and CTOs assess the following areas to help gain an understanding of the quick wins and strategic projects needed:

• Infrastructure and databases
• Data
• Security
• Applications
• Hybrid working arrangements

Develop a roadmap for the future: As the CIO, it will be your responsibility to develop a roadmap for the future of the organisation’s IT capabilities. This will involve identifying the key trends and technologies that will shape the industry, and developing a plan to take advantage of them. Keep in mind that this roadmap will need to be flexible and adaptable, as the IT landscape is constantly evolving.

Foster a culture of innovation: As the CIO, you will be responsible for driving innovation and change within the organisation. This will require you to create a culture that is open to new ideas and approaches, and that encourages experimentation and risk-taking. This will be especially important as you work to implement new technologies and strategies.

 

Access funding to support your assessments and strategic projects

To build out your plan you need to assess all elements of the business’s technology to know which areas to prioritise. Cloud Direct help businesses access funding from Microsoft to support the planning and implementation of cloud projects including assessments and discovery projects.

Microsoft Azure Migration and Modernisation funding is a program offered by Microsoft to help organisations migrate their workloads and modernize their applications using Azure cloud services. The funding is provided in the form of credits that can be used towards the cost of migrating and modernizing workloads on Azure.

One way to access Microsoft Azure Migration and Modernisation funding is through Cloud Direct, a Microsoft Cloud Solution Provider (CSP) that provides access to a range of Microsoft cloud services, including Azure. As a CSP, Cloud Direct can help organisations navigate the process of accessing and utilizing the Migration and Modernisation funding.

To access the funding through Cloud Direct, organisations will need to work with a Cloud Direct account manager to develop a plan for migrating and modernizing their workloads on Azure. The account manager will then help the organisation submit an application for funding through the Microsoft Partner Center.

Once the application has been approved, the organisation will receive credits that can be used towards the cost of migrating and modernizing their workloads on Azure. The credits can be used for various purposes, including the cost of Azure infrastructure, the cost of third-party tools and services, and the cost of professional services provided by Cloud Direct.

Overall, accessing Microsoft Azure Migration and Modernisation funding through Cloud Direct can be a valuable resource for organisations looking to migrate and modernize their workloads on Azure. By working with a CSP like Cloud Direct, organisations can benefit from expert guidance and support throughout the process, as well as access to a range of tools and services that can help them successfully migrate and modernize their workloads on Azure.

In this episode of the Security Lab, Leon explored the capabilities, benefits, and use cases of Microsoft’s market-leading SIEM solution Sentinel, with Microsoft’s Lina Kuzminskiene. Processing 78 trillion security signals and monitoring 1500 threat groups each and every day, Microsoft has positioned itself as an indisputable authority in the modern cyber security landscape – and here are the five key things we learned.

Unified security with Microsoft Sentinel

Microsoft Sentinel provides an integrated and scalable solution for organisations to monitor and protect their entire infrastructure. By consolidating data from various sources into a single dashboard, it reduces the complexity and operational overhead of managing siloed tools, enabling faster detection and response to threats.

Proactive threat detection with AI

Sentinel leverages AI and machine learning to enhance threat detection, conduct behavioural analysis, and reduce false positives. This proactive approach enables organisations to identify and mitigate advanced threats before they escalate, improving overall security posture.

Reducing costs through optimisation

Adopting Sentinel allows organisations to consolidate their security tools, reducing both operational costs and complexity. By prioritising critical data sources and fine-tuning detection rules, organisations can optimise log ingestion and manage costs effectively, especially under Sentinel’s consumption-based pricing model.

Addressing talent and resource gaps

The integration of AI-driven features like Microsoft Security Copilot addresses the growing talent gap in cybersecurity. It empowers analysts with natural language queries and automated insights, enabling even junior staff to perform complex threat hunting and analysis tasks efficiently.

Best practices for adoption

Successful Sentinel adoption involves careful planning, prioritising critical data sources, and leveraging Microsoft and partner support. Organisations should focus on implementing Zero Trust frameworks, enabling multi-factor authentication (MFA), and fostering a security-first culture to maximise Sentinel’s effectiveness.

Artificial Intelligence (AI) is more than just a buzzword – it’s an exciting way for charities to connect with supporters. From making work easier behind the scenes to helping charities keep their supporters in the loop, AI can start to make a world of difference. With the right AI tools, organisations can smooth processes, get to know their donors better, and build strong, lasting relationships.

But it’s no magic wand. It’s not one-size-fits-all, and it’s not here to replace the genuine human connections that keep charities running. Each nonprofit has unique needs, so it’s all about finding the right AI tools for the right tasks. By focusing on what matters most to your charity, AI can help you work more efficiently without wasting resources.

There are four key stages of the donor experience – Awareness, Support, Nurture, and Repeat – and each can be enhanced with Microsoft AI tools. With a strategy that speaks to each of these steps, AI can help your charity shine by attracting, engaging, and retaining supporters in new and meaningful ways.

Stage 1: Awareness – generating interest and engagement

Every donor journey starts with awareness. Whether it’s seeing a post on social media, finding a blog post through a search engine, or hearing about your nonprofit from a friend, the first interaction is crucial. This is the stage where charities can capture interest and give potential donors a reason to care.

How AI can help: AI can be a powerful ally here, helping you understand how people are discovering your charity and which content they connect with most. It can track where visitors come from, what they’re reading, and even predict which types of content might encourage someone to donate. Imagine knowing what barriers are stopping potential donors from giving, or having an AI chatbot ready to answer common questions. By learning more about your audience at this early stage, you can start building a supporter profile that will guide future interactions.

AI Tools to consider:

• Microsoft Power Automate: Great for pulling data from various sources, like social media or spreadsheets, to help you see where your traffic comes from and what content clicks with people.
• Microsoft Power Virtual Agents: This user-friendly, no-code tool lets you create interactive supporter journeys with chatbots that can engage visitors, answer questions, and share your charity’s story.

Stage 2: Support – turning interest into action

Once people know about your cause, the next step is encouraging them to get involved. Whether it’s signing up for a fundraising event, volunteering, or making a one-time donation, this stage is all about making it easy (and meaningful) for supporters to say “yes” to your cause.

How AI can help: AI can assist in creating personalised communications, sending messages that truly resonate with each donor. It can analyse things like age, location, and giving history to ensure that thank you messages, event invitations, and other updates match each donor’s unique interests. AI can also automate simple but important touchpoints, like sending a warm thank you email immediately after a donation. Personal touches like these make supporters feel valued and keep them connected to your mission.

AI tools to consider:

• Azure Machine Learning: This tool can help you group donors by their preferences, behaviours, and demographics, making it easy to tailor your messages to different types of supporters.
• Azure Cognitive Services – Text Analytics: This tool goes a step further by analysing feedback and online mentions to give you insight into what people are saying about your charity, helping you understand what resonates most with supporters.

Stage 3: Nurture – keeping donors connected and engaged

Nurturing your donors is all about building a relationship over time. Supporters want to know how their donation made a difference, and charities need to keep them engaged so they stay connected to the cause. This stage is about staying in touch with personalised updates that make them feel appreciated and in the loop.

How AI can help: AI can help you tailor your outreach based on donor behaviour, ensuring messages land at just the right time. For example, AI can predict when donors are most likely to open emails, based on their engagement patterns. It can even suggest specific content – such as project updates or impact stories – that individual donors are more likely to connect with. By using AI to automate part of this process, charities can nurture their relationships in a way that feels personalised and genuine to them.

AI tools to consider:

• Azure Synapse Analytics: This tool can analyse large sets of data to help charities spot trends in donor engagement, making it easier to send timely and relevant updates.
• Azure Machine Learning: This tool can automate segments and tasks, ensuring that communications are aligned with each donor’s preferences and are sent at optimal times.

Stage 4: Repeat – turning supporters into long-term allies

The final stage in the donor journey is ensuring that donors return. When people give again, it’s a sign that they trust your charity and feel good about their support. This stage is all about turning one-time donors into long-term allies and advocates, which can be especially valuable in tough economic times.

How can AI help: AI can help charities retain supporters by predicting when they might disengage. By analysing past donor activity, AI can identify the “churn risk” for each supporter and recommend ways to re-engage those who might be on the fence. For example, AI can automatically trigger a re-engagement email after a certain period of inactivity, or it can send impact stories and updates that keep donors informed of the great work being done thanks to their support.

AI tools to consider:

• Microsoft Power BI: This powerful tool allows charities to see data trends and visualise the donor journey in an easy-to-digest dashboard, making it easier to spot where donors might lose interest.
• Azure Synapse Analytics: By keeping track of donor engagement over time, this tool can help charities create targeted re-engagement campaigns that remind supporters of the impact they’re making.

Making AI Work for Your Charity

As we’ve shown, AI can do incredible things. We’ve only just scratched the surface, but it’s most effective when it’s used thoughtfully. For charities, the key to successfully adopting AI is to identify what specific challenges need addressing and to pick tools that fit those needs. AI can help you save time, engage supporters, and ultimately raise more funds, but it’s not a substitute for the heart and personal touch that defines your charity’s mission.

With the right approach, AI can be a game-changer for your charity, helping you make an even greater impact in the communities you serve.

If you’d like to find out more about how AI can support fundraising, we worked with Charity Digital to produce this whitepaper that outlines the steps your charity can take to adopt AI successfully.

Starting your AI journey

As one of Microsoft’s most trusted UK partners, Cloud Direct is perfectly positioned to help your charity unlock innovation. Supported by an extensive list of accreditations, including being one of the most established Azure Expert Managed Service Providers, our team of experts build the foundations that ambitious charities need to grow, innovate and succeed.

Our technical experts have been helping charities like Amnesty International, Charities Aid Foundation, British Red Cross, Confederation of British Industry and many more to innovate and grow with Microsoft Cloud.

To help you take your next step forward, we have created a suite of Data + AI Workshops and Assessments that will enable you to discover the art of the possible and enable you to apply Data and AI technologies to your specific use cases and give you an understanding of how AI can help you on your mission.

If you’d like to find out more about these workshops and assessments, fill out the form on this page. We look forward to hearing from you!

In the second episode of The Security Lab, we focused on the core components of the Microsoft Purview suite, including Data Governance, Risk Management, Information Protection, and Compliance Management. These tools are designed to provide a unified approach to managing and protecting your data, regardless of where it resides.

According to Microsoft’s 2023 Data Governance Report, more than 80% of organisations cite the ability to manage and protect data as a top business priority, yet more than half struggle to do so effectively. Purview provides the tools and capabilities needed to address these issues – and here are the five key learnings from our Security Lab special with Microsoft’s Karim Fayad.

Unified data governance across platforms

Microsoft Purview provides a centralised platform to manage, classify, and secure data, no matter where it resides. With features like data classification, labelling, and retention policies, organisations can ensure their data governance strategies are consistent and compliant with regulatory standards. Purview’s comprehensive approach simplifies managing sensitive data, enabling businesses to focus on mitigating risks while maintaining compliance.

Addressing the challenges of knowing your data

One of the biggest challenges organisations face is understanding where their data is stored and its sensitivity. Microsoft Purview tackles this by offering out-of-the-box templates and trainable classifiers to identify and label data based on pre-defined or custom sensitive information types. By creating a detailed data map, organisations can implement effective policies to protect and govern their most critical assets.

Compliance Manager simplifies regulatory adherence

Microsoft Purview Compliance Manager helps organisations assess their environments against over 380 regulatory standards, such as GDPR and Cyber Essentials. It provides actionable improvement plans, linking each task to specific Microsoft solutions. By offering compliance scores and prioritising tasks, organisations can systematically enhance their compliance posture while reducing the complexity of meeting industry and regional requirements.

Data Loss Prevention and Insider Risk Management

Purview’s Data Loss Prevention (DLP) and Insider Risk Management tools work in tandem to prevent unauthorised data sharing and address risky user behaviours. By leveraging adaptive protection policies, organisations can dynamically respond to activities like mass data downloads or unauthorised sharing. These tools are critical for safeguarding sensitive information, particularly during events like employee departures or breaches.

Purview as a foundation for AI readiness

Microsoft Purview ensures data readiness for AI initiatives by focusing on proper classification, labelling, and access control. Before organisations can leverage tools like Microsoft’s AI Copilot or AI Studio, they must ensure their data is clean, compliant, and secure. By adopting Purview, businesses can confidently unlock the transformative potential of AI while mitigating risks associated with data misuse or regulatory non-compliance.

In our first episode of the Security Lab, Leon chatted with Microsoft’s Aileen Finlay about the role of the Defender Suite in tackling today’s security challenges. Aileen’s an expert in the field, and together they shared insights on how businesses can stay ahead in a fast-changing landscape – here are the five key things we learned.

XDR Unifies Detection and Response

Microsoft Defender XDR consolidates security data across endpoints, email, and cloud into a unified platform, making threat detection and response more efficient. Its automation capabilities reduce Time to Resolution (TTR), preventing attackers from gaining a foothold or escalating attacks. The integration of multiple tools under a single pane of glass not only simplifies management but also reduces the complexity of responding to incidents. By streamlining security operations, XDR ensures faster identification, containment, and resolution of threats, significantly improving an organisation’s overall security posture.

The Crucial Role of Time to Resolution (TTR)

The speed at which an organisation can detect and respond to an attack often determines the level of damage. Faster TTR means attackers are stopped earlier, reducing the chances of data exfiltration or operational disruption. Automated playbooks in XDR isolate compromised devices, reset credentials, and contain threats in real time. As demonstrated, delays in responding allow attackers to progress along the attack chain, embedding themselves deeper into systems. XDR’s automated workflows drastically reduce TTR, enabling organisations to respond within minutes rather than hours or days.

Leveraging the MITRE ATT&CK Framework

The MITRE ATT&CK framework outlines the various stages of an attack, from reconnaissance to privilege escalation and lateral movement. XDR maps its responses to this framework, enabling organisations to identify and disrupt threats at every stage. As the webinar demonstrated, stopping an attack during its early phases, such as reconnaissance or initial compromise, is far less damaging than addressing it during data exfiltration. This framework provides a structured approach to understanding threats, helping organisations predict and prevent further malicious actions effectively.

Simplifying Security with Consolidation

XDR helps organisations streamline security by consolidating multiple point products into a single solution. This reduces costs, improves operational efficiency, and simplifies incident management. The webinar highlighted that many organisations rely on dozens of disconnected tools, which complicates visibility and delays response times. By integrating solutions like endpoint detection, email security, and threat intelligence, XDR creates a seamless ecosystem where all security signals converge. This not only makes responses faster but also reduces the total cost of ownership by eliminating redundancies.

AI for Smarter and Faster Security

Microsoft Defender XDR integrates AI-powered tools like Security Co-pilot to summarise incidents in natural language, making complex data accessible and actionable. This is particularly valuable given the shortage of skilled cybersecurity professionals. During the webinar, it was noted that Security Co-pilot assists with incident summaries, compliance reporting, and post-attack analysis, reducing manual effort and increasing accuracy. The AI capabilities in XDR also help detect advanced threats, such as those using AI for social engineering or automated attacks, ensuring defences remain one step ahead.

Clients trust law firms with their private information, so their cybersecurity is under scrutiny around the clock. Law firms hold a wealth of sensitive data, from personal client details to confidential case files, making them the perfect target for cybercriminals.

It can take years to build a law firm’s reputation, but it only needs one incident to tear it back down. A single breach can have catastrophic consequences, including loss of client trust, financial penalties, and legal repercussion for failing to protect client data.

In 2020, The Solicitors Regulation Authority (SRA) reported that 30 out of the 40 law firms they visited had been victims of a cyber-attacks, with £4 million in client money stolen. This highlights the severity of the current threat landscape in the sector.

In the age of artificial intelligence, cyber criminals are sharpening their skills and exploiting AI-powered fraud and deepfake videos to harvest customer data. Identity fraud is the most dominant case type, with more than 237,000 reports last year. Firms are most commonly attacked with sophisticated phishing scams via email, viruses, and malware, so how do you make sure both your client data, and your business, are secure? Where do you even begin?

Regulation and ethical obligations

A data controller is an individual within your firm who is accountable for data protection. They must be able to demonstrate compliance with GDPR and the DPA. Their roles and responsibilities include creating a contingency plan in case of a data breach, conducting risk assessments, and training staff about cybersecurity risks.

Regardless of your firm’s location within the UK, it is your responsibility to make sure you adhere to the data security laws – across teams, departments, and offices.

Best practice for protecting your law firm

To make sure your law firm is protected against attacks, think of creating a multi-layered security strategy approach. Concepts like Zero Trust should be implemented, and Microsoft’s has a whole suite of security tools to lock your data down.

Building your security policy

The majority of security issues in law firms are caused internally. Almost four in 10 internal issues have been caused by human error, this includes failure to redact information or use BCC in emails, sending to the wrong recipient and verbal disclosure. So, what can we do about these seemingly simple slip-ups?

• Strong passwords: Do you use the same password for every login? You’re putting yourself and your firm at risk of being targeted by cyber criminals. Create a complex password – not your birthday, please! To make your life just that bit easier, use a password management tool.
• Multi-Factor Authentication (MFA): This is a process where a user needs an additional form of identification when signing in, like entering a code that was sent to their mobile, or providing a fingerprint scan. Doubling up on your authentication upon logging in will significantly reduce the risk of hackers accessing and compromising your employees’ accounts.
• Role-Based Access Control (RBAC): All of your employees do not require the same level of access and control over resources. RBAC allows you to assign roles to control what access users have to different resources. It’s easy to assign and allocate roles with RBAC, as well as revoking them when necessary.
• Test and train: Just because you’ve shared the security plan with the rest of the business, that does not mean everyone’s read it. Ask your IT team to create a mock phishing email and send it to the whole company. By doing this, you’ll be able to educate your staff on security best practices and protocols. It’s also a fun exercise to see who’ll fall for it, with a salient message on the importance of cybersecurity awareness.
• Encryption: In its simplest form, encryption will transcribe your data and lock it with a secret code. Azure uses double encryption, which is when you have at least two layers of encryption to protect both your data at rest and data in transit. Using double encryption on your data will mean threats have to break through two barriers to access your information.
• Remote work: With more and more law firms comprising of hybrid workforces, virtual desktops is the answer to a safe and secure IT environment. Legacy applications can easily run on virtual desktops, and they can be installed on different devices. Virtual desktops create a standardised, secure environment to ensure all remote workers are complying with data security policies wherever they are.

Cyber security is a necessity for legal firms, vital to their operation and survival in the modern world. It safeguards the firm’s reputation, ensures compliance with regulations, and protects the very essence of what it means to be a trusted legal advisor.

As the threat landscape evolves, so must the defences of legal practices to ensure they remain protected from the constant threat of cyber-attacks. This commitment to cybersecurity is not just about risk management; it’s about upholding the professional and ethical standards that define the legal profession.

Security is a top IT priority for every law firm, but improving it doesn’t happen overnight. Register to our security workshop and reshape your security roadmap with your customers in mind.

 

 

 

Data defines an organisation’s ability to innovate safely. It is the most valuable asset a business has, with the ability to enhance operations, build the foundations for AI, and drive commercial success.

Every transaction, interaction, message and AI prompt generates data. We’re creating more data than we ever have done. With each touchpoint, more data is created and therefore needs cataloguing, storing, and managing. How on earth do we keep up with the 402 million terabytes of data that are created every day?

There’s someone we’d like you to meet…

What is Microsoft Purview?

Microsoft Purview is an all-in-one solution for data governance, security, risk and compliance, and enables data transformation that can fuel innovation. In 2026, Purview has expanded significantly to become Microsoft’s unified governance and AI‑risk management platform. The platform underpins safe adoption of Copilot and custom AI agents across organisations. It is made up of a wide range of features that allow for the management of data across on-premises systems, multi-cloud environments, and Software as a Service (SaaS) platforms.

Microsoft Purview’s most widely adopted and impactful features live directly inside the Microsoft 365 ecosystem. Native capabilities such as sensitivity labels, automatic data classification and Data Loss Prevention (DLP) apply protection consistently across Outlook, Teams, SharePoint, OneDrive and Windows endpoints. This ensures that Purview provides everyday, real‑world data security as well as visibility across the wider data estate.

With Purview, businesses can ensure that their data is correctly governed, its quality is managed, risks are mitigated, and that generative AI applications meet industry and legal regulatory requirements. Microsoft has explicitly positioned Purview as a core pillar of the Copilot Control System, the framework used to manage security for Copilot and AI agents. 

What are the key components of Microsoft Purview?

Microsoft Purview is a collection of tools, all working together to provide a holistic approach to data governance, security and compliance.

Data Security Solutions

Purview provides a comprehensive range of data security solutions, including Microsoft Purview Data Security Posture Management, Data Loss Prevention, Information Protection, Insider Risk Management, Data Security Investigations and Copilot in Microsoft Purview. These tools are designed to identify and safeguard sensitive information, ensuring thorough data security throughout your organisation.

In addition, Purview provides protections for generative AI apps. It tracks AI activity, prevents data loss and ensures compliance with best practice.

Information Protection

Microsoft Purview’s Information Protection engine provides consistent and context‑aware security across the Microsoft 365 stack. Through sensitivity labels, encryption policies, data residency controls, and retention rules, organisations can protect data including AI‑generated content. These capabilities operate natively across all M365 applications, ensuring that users can collaborate freely while Purview handles protection quietly in the background.

Data Loss Prevention (DLP)

Purview’s DLP capabilities allow organisations to detect and prevent the accidental or intentional sharing of sensitive information across Teams, SharePoint, Exchange, endpoints and AI tools. With policy‑level insights and automated remediation, organisations can reduce data leakage risk without disrupting user workflows. This M365‑embedded capability is one of the most widely adopted areas of Purview and plays a foundational role in securing operations. 

Data Governance Solutions

The platform features integrated data governance solutions that oversee data services across on-premises, multi-cloud, and SaaS environments – including Azure storage services, Power BI, SQL Server, Hive, Amazon S3, and others. Tools such as Microsoft Purview Data Catalogue, Data Estate Insights, Data Map, Data Policy, and Data Sharing empower organisations to effectively map, identify, manage, and secure their data.

Data Sharing and Policy

Purview facilitates secure data sharing both within and between organisations, while also allowing centralised management of data sharing relationships. The Data Policy app streamlines the management of data access across multiple sources, ensuring both security and compliance.

Data Insights

This is a vital tool for governance stakeholders, with a comprehensive overview of the data estate, offering actionable insights into governance gaps. It features metrics, reporting, and visualisation tools to track and improve data governance policies, ensuring effective resource allocation and adherence to regulatory requirements.

Data Catalogue

This is the central component of the Purview platforms. Effective data cataloguing allows users to discover and search for data assets across the business, accessing only the information they should be able to in line with a just-enough-access policy.

Data Map

This feature automates data discovery by scanning and classifying assets across your data estate, providing a holistic view of your data landscape. It serves as the foundation for data discovery and governance, facilitating easy and efficient management of enterprise data.

Additionally, Microsoft Purview Data Quality enables assessment and recommendations for improvement to data quality within business domains. It provides AI-driven insights to increase the reliability and confidence in the data found in the data catalogue, helping organisations to become AI ready.

Risk and Compliance Solutions

Microsoft Purview’s risk and compliance solutions help organisations manage compliance risks and meet regulatory requirements through a suite of tools. These include Microsoft Purview Audit for tracking user activities, Communication Compliance for monitoring communications, Compliance Manager for assessing compliance posture, Data Lifecycle Management for handling data from creation to disposal, and eDiscovery for managing electronically stored information relevant to legal cases. These tools ensure secure, compliant data handling throughout the data lifecycle.

Purview AI Hub

The Purview AI Hub provides a central workspace for monitoring, governing, and securing AI usage across your organisation. It offers visibility into how AI tools, such as Microsoft Copilot and third‑party generative AI services, access and process sensitive data, and enables you to set and enforce policies that minimise AI‑related data risks. The AI Hub helps organisations adopt AI responsibly while meeting emerging regulatory and compliance requirements.

By leveraging these seven capabilities, businesses can ensure their data is managed effectively, protected adequately, and utilised fully. Whether you are addressing regulatory compliance, improving data quality, or enabling secure data sharing, Microsoft Purview offers the tools and insights needed to transform your data governance strategy.

What are the core implications of Microsoft Purview?

We’ve covered what it does, but what effect does it have on your business? And especially why does it matter in 2026 more than ever?

Unified Data Governance

Microsoft Purview provides a centralised platform for managing data governance across the entire data estate. This unification simplifies the process of ensuring data quality, security, and compliance, eliminating data silos and reducing the complexities associated with managing disparate data sources.

Protecting Data in Transit

Sensitivity labels and DLP ensure that protection stays attached to data, whether it’s shared, copied, or surfaced by AI. Purview further strengthens this by continuously inspecting data paths across apps, devices and AI interactions. This ensures that sensitive information remains encrypted and governed even as it moves through multi‑cloud and hybrid environments.

AI‑Aware Governance

Purview applies controls not just to files, but to AI prompts, responses, and agent activity, helping prevent sensitive data leakage into generative AI tools. It also provides visibility into how AI models use and reference organisational data, offering audit trails, risk scoring and policy enforcement that align with emerging AI governance standards and regulatory expectations.

Better Collaboration and Data Sharing

Purview facilitates better collaboration by making it easier for teams to discover and understand data. The data catalogue and business glossary ensure that everyone in the organisation speaks the same data language, fostering a culture of data-driven decision-making and reaping the rewards that come with that.

How Microsoft Purview can benefit your industry

Purview isn’t just a toy for your IT team to play with. It’s a platform that will impact your entire organisation, shaping the way data is managed and moved in your teams, departments and geographies. No matter what industry you operate within, there’s a Purview use case for you.

Finance

Businesses operating within the UK’s financial services industry must comply with regulations such as the UK Sarbanes-Oxley Act, the Senior Managers and Certification Regime, and GDPR. Microsoft Purview helps FSI firms automate data discovery, classification, and lineage tracking, ensuring that all regulatory requirements are met. This automation not only reduces the risk of non-compliance, but also minimises the effort required for compliance reporting.

Healthcare

With the NHS being the world’s largest publicly funded healthcare service, imagine the amount of patient data, research data, test result data… this list is endless. It’s no doubt that cybersecurity and privacy is at the forefront of their business decisions. Purview allows healthcare providers to classify and protect patient data, ensuring compliance with GDPR and other healthcare regulations. Providing visibility into data access and usage, Purview helps prevent data breaches and ensures that patient information remains confidential, while still being able to use it to make critical decisions.

Manufacturing

The UK manufacturing industry is among the strongest in the world, bringing in £224 billion to the UK economy each year. Its complex data ecosystem means it stands to benefit hugely from Purview. The platform enables these companies to create a unified data governance framework, improving data quality and operational efficiency. With better data insights, manufacturers can optimise their production processes, reduce downtime, and enhance product quality.

Retail

Retailers rely on data to understand customer preferences, manage inventory, and optimise marketing strategies. Purview’s data cataloguing and business glossary make it easier for retail businesses to discover and analyse data, driving data-driven decision-making. By ensuring data accuracy and consistency, Purview helps retailers enhance customer experiences and improve business outcomes.

Non-Profits

While charities must comply with regulations such as, the Charity Governance Code, and the requirements set by the Charity Commission, they also rely heavily on their data to understand donor behaviour, optimise fundraising strategies, and measure the impact of their programs. Microsoft Purview plays a crucial code in helping charities manage these dual priorities. It does this by automating key compliance tasks like data discovery and classification, while ensuring that charities handle sensitive donor and beneficiary information securely. Automating these processes reduces the risk of data breaches, but also frees up valuable resources to focus on critical fundraising activities.

What next?

Further your Purview knowledge by registering to attend our webinar “Securing the AI Frontier with Microsoft Purview DSPM” at 10:00 on Thursday 12^th March. 

During this hour webinar we will be covering how to protect sensitive data as your teams adopt Copilot and Generative AI. You’ll be hearing from Microsoft’s Security & Compliance Solution Engineer Karim Fayad, who will cover:  

• Why traditional security models fall short for AI 

• How the Microsoft Purview AI Hub gives you visibility of AI risk 

• Preventing sensitive data leakage through AI prompts 

• How sensitivity labels follow data through Copilot 

• Using audit and risk trends for compliance and monitoring 

• A practical deployment path for DSPM for AI 

Whether you’re preparing for Copilot, responding to regulatory pressure, or simply want confidence that sensitive data isn’t being overshared, get in touch and we can help support your Microsoft Purview journey.  

Sound good? Get in touch.

Since its introduction to the world late last year, Copilot has been a massive topic of discussion. Whether you’re all-in on Copilot changing the world and the way that we work, or if you’re more pessimistic and see it as a bit of a gimmick, it’s likely that you have an opinion on it.

Regardless of which way you’re swaying, there is one thing that no one can ignore… the cost. Copilot is expensive – there’s no two ways about it. But it is an investment worth making if you do so with due care and consideration. That requires making sure you are AI ready and having a tangible, measurable use case for its adoption.

To see if you’re in a position to make a success of Copilot, you’ll need to ask yourself a few questions. Don’t worry, this blog should help you answer them…

Who?

Who will benefit most from Copilot? It would be silly to throw all your eggs in one basket and bag a Copilot license for everyone in the business. Deployment must be strategic, so think about which teams and individuals need the help.

Identify who may be under-performing, or potentially those who have a lot of administrative work in their jobs. Management roles across the organisation stand to benefit, with it being reported that they save up to 30 per cent of their admin time with Copilot.

Roles that see their calendars stacked with meetings will also get the best out of Copilot. We’ve seen evidence of that at Cloud Direct, with heavy use of the transcript and recap functions in Teams – findings which are backed up by Microsoft research, which shows that ‘users were able to get caught up on a missed meeting nearly four times faster.’

Making sure you assign your licenses to the right people is incredibly important. It’s equally important that you keep track of this, and check in with those who are using Copilot and the value they’re extracting from it. Assigning a license to someone who ultimately doesn’t use it very much is throwing money down the drain every month, and licenses can easily be reallocated within the organisation.

What?

The next important step is identifying what it is going to be used for. Are your sales team tired of writing tedious follow up emails? Are project managers struggling with tracking projects? Are customer support stretched and need something to listen in and summarise common issues faced by customers?

Adopting Copilot with a clear vision of what it is going to help with means that you can leverage it more effectively, and get the biggest bang for your buck. Think about asking your teams what part of their job they wish could be done quicker, more efficiently, or eradicated altogether, so that you can plot your route before you set sail.

Where?

Let’s zoom out from the individuals in the who section, and focus on the where – specifically, where within your organisation Copilot will make the biggest splash. Think of the teams, departments or geographies that could benefit most from administrative automation, and get to know their challenges.

Let’s take a quick look at sales. Love them or loathe them, a salesperson’s time is critically important. The less time they spend on the menial, tiresome tasks, the more time they can spend generating revenue. “In sales, Copilot has helped sellers at more than 30,000 organisations, to enrich their customer interactions,” said Microsoft CEO Satya Nadella. So much for AI making things less human.

If you are looking at a wider rollout of Copilot, focusing on a single department is a sensible way to start. It’s a great way to test the waters and assess if your investment is going to be worthwhile. Discover which team will reap the biggest rewards, and work from there.

Why?

The next thing you have to ask yourself is why. Why are you looking to adopt Copilot in the first place? Not because your competitors are, not because it’s the word on everyone’s lips, not so that you can put your feet up and let AI replace you… push yourself, and make sure those reasons and use cases are valid, tangible and to the benefit of the business. Copilot is a shiny new toy that everyone seems to want to play with – Ally Financial, Coca-Cola and Rockwell Automation, to name but a few – but it doesn’t mean you should just whip out the cheque book straight away.

Your reasoning shouldn’t be just because those big companies or your competitors are doing it. A justifiable why is more important than just a why. If you are to take your time and use Copilot to actually address and tackle your specific challenges, then those competitors who are spending the money just to say they have it are the ones that will suffer in the long term.

AI is already finding its way into the hiring process, too. If you’re a company that can demonstrate its use of AI and how it will improve the work life of a potential hire, then you are going to be seen as a business that people want to work for. On the other hand, those who have just rushed to adopt the shiny new toy without a plan in place won’t make the same impression.

How?

We’ve saved the biggest question until, well, nearly the end. How are you going to get there? How are you going to prepare yourself, your team, and your organisation to adopt Copilot?

We’re getting more technical here, but setting out a roadmap for your Copilot adoption is critical. There’s a lot to consider, but we’ve broken the process down into seven simple steps that you can tick off, one by one, with each moving you closer to AI readiness.

• Step One: Migrating to the cloud
• Step Two: Optimising your cloud platform
• Step Three: Creating data strategy & fostering data culture
• Step Four: Securing and properly governing data in the cloud
• Step Five: Building specific use cases for data & AI tools
• Step Six: Gaining insights for cloud-based data with data analysis
• Step Seven: Implementing an AI strategy

There’s a lot to take in on this section – too much to cover in this blog post. If you are looking to learn more about how to become AI ready and prepare your organisation for Copilot adoption, then check out this webinar we did late last year.

When?

Finally, it comes to working out when you are going to adopt Copilot. You can’t rush into it, otherwise you’ll fall flat on your face, but drag your heels and you’ll be left in the dust of your competitors.

Successful adoption relies on the foundations you lay – it’s preparing your data, securing your perimeter and, perhaps most importantly, training your team. All of this needs to be done before your Copilot rollout, instead of scrabbling around for quick fixes once you’ve got the ball rolling.

Beyond adoption you also need to consider its use cases, and in which scenarios your team should look to lean on it. There’s also training to thing about scheduling in – Copilot is not as simple as all the fancy videos make it look, and it requires practice and training if you want to make sure you get the most out of all the available tools.

Making sure you train your team how to do this as you roll it out is important. You need to create a clear training plan that teaches your teams how to get the most out of Copilot –everyone knows how to ask ChatGPT to write a generic email or to rank their favourite footballers, but Copilot requires more from its users. Despite what is promised, you can’t simply ask it to do all your unwanted jobs for you. Your team need to become prompt engineers, and learn how to ask Copilot the right questions and give it the right commands to maximise its output. Without proper training, your team will be left with a glorified chatbot that is more of a hindrance than a help – and that’s a waste of their time, and your money.

…and what next?

Copilot’s release saw it become the world’s most exciting corporate toy, but it is so much more than that. It can unlock your business potential, freeing up your team’s time to spend on more innovative, creative, and meaningful tasks. It isn’t perfect (yet), and nor is it a worthwhile investment if you aren’t willing to do the work beforehand.

Luckily, there’s a team of experts on-hand that have been there and got the t-shirt – and you’re already here. Let’s talk about how we can get your organisation AI ready, and start making the most of Microsoft’s market-leading assistant.

AI has started a new gold rush in the world of technology. The global AI market was valued at $515 billion in 2023, and is projected to reach $2.74 trillion by 2032. It’s become the new talk of the town, and prospectors are looking to strike gold with quick and secure solutions that will accelerate their business innovation.

The world of IT may be mostly free of gunslingers and highwaymen, but AI can still be unpredictable and dangerous if it’s not approached with care and consideration. Rather than trusting the words of a cowboy or snake oil salesman, we’ve prepared six key questions that your company should ask itself before exploring IT’s new frontier.

Q1: Have you migrated to the cloud?

Migrating to the cloud is one of the first important steps when looking to adopt AI. These platforms are fueled by data, and cloud platforms like Microsoft Azure provide a great place to store, manage and secure that information. Azure provides a framework that includes tools, programs and content that help simplify the adoption of AI and other cloud-native practices.

Before you start this journey though, there are a few things you need to work out, like a coherent and justifiable business case for migrating. This is about asking;

• How much are you going to migrate?
• Is it financially viable to migrate now?
• Do the benefits outweigh the negatives?
• Have you looked into the resources already provided by Microsoft?

There are also funding opportunities – which can only be accessed by working with select partners – that would offset some of the costs of migrating and potentially unlock other opportunities and projects. This can help a lot with creating a compelling business case, and we’ll be coming back to this point a little later on.

If you have these things in place then perfect, you can get going with your migration. We’ve created a step-by-step migration strategy guide to help get you going, or this article provides a comprehensive outline for migrating on-premise data pipelines.

Already operating in Azure? Great – it’s time for the next question.

Q2: Are your costs under control?

The second question that you should be asking yourself constantly – with or without AI – is whether or not your costs are under control. According to a 2023 survey by Gartner, businesses are wasting more than a third of their cloud spend on average each year. That’s not just wasted cash, it’s wasted opportunity – money that could be funding your AI journey is going straight down the drain.

You might be wondering where on earth this wastage is. What’s it being spent on? While there isn’t a one-size-fits-all answer, data science publication TDS says “inefficiencies like idle infrastructure can waste significant amounts of data infrastructure investments.” One of the best ways to prevent such wastage is to run regular cost assessments that allow you to properly analyse which parts of your infrastructure are responsible for this over-investment, and what remedial action should be taken.

Another option could be switching your payment model. For example, if you are in an industry where your requirements will fluctuate, you might benefit more from a pay-as-you-go model that allows greater flexibility in scaling your workloads and means you only pay for what you use. Thus, allowing you to adapt to your requirements. Whereas industries that are a lot more stagnant and can easily plan for the amount of architecture that they would use, may benefit more from a reserved instance, as your long-term projects are far more predictable and plannable.

Q3: Have you optimised your cloud security and performance?

AI runs on data – you’re sick of us saying that, but we’ll keep beating the drum. If you want to get the most out of AI then you will need to ensure that it can access that data as efficiently as possible. Regularly running performance assessments on your cloud infrastructure will aid efficiency.

Optimisation will enable you to scale your resources, optimise and identify bottlenecks, and will improve the ability of your system to adapt to changes in its workloads. This will in turn make the process of adopting AI smoother and more straightforward, before the technology begins aiding the optimisation process in the long run.

Security is at the forefront of all things IT – and AI is no exception. As artificially intelligent platforms will often be working with larger loads of data and, particularly in some cases, extremely sensitive data, it is going to need watertight security. For example, in 2020 a company named Cense AI almost leaked 2.6 million medical records because “Cense AI was temporarily hosting it online before loading it into the company’s management system or an AI bot.” A major risk to take that should’ve been calculated and could’ve been avoided if the correct cloud security measures had been in place. If you are interested in learning more about this case then check it our here.

If you are want to know more about cloud security, we’ve also outlined six ways to stay secure in the cloud on The Learning Hub.

Q4: Are your custom business applications modernised?

Now that you’re on top of your costs and your performance, it’s time to start thinking about the applications that help you operate day in, day out. Outdated, monolithic applications are expensive and don’t offer the same benefits as they will do when run in Azure. Migrating them means you unlock greater security and scalability, and that the data from these applications is going to be easier to access for your AI model.

But the buck doesn’t stop with migration. Modernising your applications also requires a cultural shift in how your organisation approaches the management of them. This often presents itself as a DevOps methodology, which promotes greater group collaboration and efficiency when looking to adopt AI. It means sharing responsibilities and workloads, but it doesn’t come easily. It’s a shift in your processes, your approach, and your mentality – but you’re already looking to revolutionise your organization, so it’s the perfect time to adopt a DevOps approach.

Click here if you want to explore the Five R’s behind application modernisation and transform your custom business apps.

Q5: Is your data accessible?

Oh look, we’re mentioning data again. It undoubtedly feels very repetitive, but it is the most important thing when it comes to adopting artificial intelligence. Data is the fuel that is needed for AI to function, so ensuring it has easy, unhindered access is vital.

Microsoft makes this easier with products like Azure Data Factory is a perfect solution for hybrid environments, enabling you to control, secure, govern and unlock data across both on-prem and cloud servers.

Even if you’re not looking to adopt AI right now, then keeping your data accurate and up to date is still an important practice. As Jordan Kanter at Perficient points out: “The consequences of using bad data extend beyond immediate operational challenges…”, before explaining that poor data quality costs the US healthcare system $210 billion per year.

Q6: Do you gain insights from your data?

You’ve done the hard work. You’ve scrubbed your data, made sure it’s on a modern data platform, and that your analysts and AI have the access they need… so what’s next? You need to know how to use the tools you now have at your fingertips – it’s no use having all that data if it’s just going to sit there.

Picture your business as a house. Each department is a different room – with its own boundaries and confinements – and your data is your wiring. It flows from room to room, reaching every corner of the house and being just as critical in each and every area. Some rooms use it for lighting, others to run washing machines, a third to power a television. Each room has its own uses for the electricity, but it is the same utility that enables all of them.

Now, if users in each room were forced to hardwire their appliances into the wall, we’d be running into problems pretty quickly. Thankfully, plug sockets give us an easy-to-use, ultra-accessible interface to benefit from our wiring system. So, we need a data equivalent.

While there are Microsoft products that solve these issues – be it PowerBI, Synapse or Fabric – your teams will also require training to fully understand the tools you’ve put at their fingertips. Then, and only then, will your entire business be able to put your datasets to work and start making data-driven decisions that truly empower your whole organisation.

 

Right, it’s time to implement an AI strategy…

Once you’re happy with your answers to these six questions, it’s time to implement a clear and defined AI strategy. Make sure you consider how you want to use AI, and how it’s going to help your business – are you looking to maximise your use of Copilot? Are you attempting to create a bespoke AI solution for your development team?

Adopting clear and concise policy documents that outline to employees the appropriate use of AI, and ensuring that they are adhered to with regular updates and check-ins, is critical.

If there is any confusion, or if you would simply like a second opinion on your strategy, then you know where to find us. Whether it’s educational materials that will help you learn more about the adoption of AI, funded Copilot workshops and data readiness assessments to help you grow in confidence when planning your project, or implementing a rapid adoption process that will add some sparkle to your AI journey, we can help you saddle up for the journey ahead.

AI may be a vast new frontier, but that doesn’t mean you need to explore it alone. Let’s talk about it.

 

Ready to start your journey? Our Data & AI Innovation workshop will take into consideration your specific business context, and give you a better understanding of how AI can transform your business for the better.

In today’s data-driven world, businesses across various industries face the challenge of managing, integrating, and analysing vast amounts of information efficiently and securely. Fail to do so, and you fall behind.

With Microsoft Fabric, you unlock the full potential of your data and join industry-leading companies in making the most of its transformative data management capabilities. Your teams will benefit from a comprehensive, integrated solution that is easy to understand, onboard, create, and operate, and create a seamless data management platform that allows for smoother collaboration, greater productivity, and enhanced innovation across departments.

Sounds great, doesn’t it? That’s because it is, but there’s a lot more to learn in order to get the ball rolling.

Firstly, what is Microsoft Fabric?

Microsoft Fabric stands as a comprehensive solution tailored for data integration, data engineering, real-time analytics, data science, and business intelligence, all while maintaining stringent data privacy and security protocols.

Fabric simplifies the entire data workflow by combining several powerful tools –Data Factory, Synapse Analytics, Data Explorer, and Power BI –into a unified, cloud-based platform. This integration allows for seamless data movement, robust data engineering, and advanced analytics, all within a single, user-friendly interface​​.

Exploring Microsoft Fabric Features

Fabric is packed to the rafters with features than unlock innovation and empower your organisation. We’ve hand-picked those that we have seen be particularly impactful, but there’s load more to learn about on Microsoft’s website.

Streamline Your Data Solutions

With Fabric, there is no longer a need to piece together multiple datasets, analytics, and BI solutions to get the business insights you require. This unified Software as a Service (SaaS) platform offers a single source of truth for all your data and analytics, offering secure and democratised insights. Utilising this powerful, open, and scalable solution will accelerate your time to value through effective cost management and spend optimisation, giving you the biggest bang for your buck.

Copilot integration

Fabric and Copilot go hand-in-hand, leveraging the power of AI to enhance data workflows across its suite of tools. This integration provides users with advanced capabilities for data processing, analytics, and visualisation, making data management more intuitive and efficient.

A Unified Experience

By integrating Data Factory, Synapse Analytics, Data Explorer, and Power BI into a seamless, cloud-based experience, Fabric provides a single pane of glass for data management. The open and governed Data Lakehouse foundation provides a cost-effective, performance-optimised fabric for business intelligence, machine learning, and AI workloads at any scale. It is the ideal foundation for migrating and modernising existing analytics solutions, whether these are data appliances or traditional data warehouses.

For New and Growing Analytics Customers

Fabric’s SaaS environment facilitates the rapid deployment of a complete end-to-end analytics engine from scratch. With its built-in security and governance capabilities, you can rest assured that your data and insights are well protected, even when you accelerate the creation or expansion of your analytics estate. Fabric allows you to get up to speed quickly, to keep pace with your competitors.

For Existing Synapse Customers

The next evolution of Synapse is here – as part of Fabric. Enjoy the limitless scale and benefits of Synapse in an easier-to-use SaaS solution, while adopting new capabilities that enhance your entire analytics approach. With the addition of Power BI, you can democratise the ability to uncover insights and create interactive reports across your organisation, empowering everyone to make more data-driven decisions in their everyday work.

For Existing Power BI Customers

Lastly, Fabric gives you access to powerful data tools and services like Azure Synapse within the familiar Power BI user experience. Unify these tools with your disparate data sources in the same environment to establish a single source of truth for all data, driving the ability for everyone to uncover more accurate and consistent insights. Additionally, the built-in security and governance capabilities ensure your data is protected, eliminating the security concerns associated with a patchwork analytics estate.

How can Fabric be used for your industry?

No matter what sector you work in, Fabric has the ability to transform your work.

Heathcare sector

The healthcare industry is riddled with complex data challenges, as it handles massive amounts of highly sensitive and highly regulated information.

As part of the NHS’s digital transformation plan, Electronic Heath Records (EHR) have become critical to medical professionals. EHRs show patients’ vital information, lab results and observation notes, and are a powerful tool for medical professionals as they can quickly diagnose those who are high risks for certain conditions, such as sepsis.

Fabric allows for an improved patient experience by giving healthcare organisations immediate access to structured and unstructured medical data in OneLake, laying a foundation that enables healthcare professionals to run analytics to identify patient needs in real-time.They can also leverage real-world data collected by clinical drug trials, using machine learning and artificial intelligence coupled with large sets of genomic and population data to gain new insights into drug efficacy. Healthcare providers will also be empowered to collaborate more closely by being able to securely share and access patient data and insights. ​

Finance and Insurance sector

The Financial Services Industry is heavily regulated, making the security of Microsoft products particularly valuable. Microsoft Fabric provides FSI professionals with secure, governed access to customer portfolio and market data, which allows them to enhance customer lifetime value and loyalty by offering a comprehensive view of a customer’s financial situation, facilitating targeted upselling and cross-selling of products and services tailored to the needs of individual clients.

For insurance firms, Microsoft Fabric supports improved risk assessment through analytical models on aggregated data. Insurance specialists can gain improved insights by integrating internal and external data, enabling them to offer customised solutions to their clients.

Overall, FSI organisations can leverage Fabric to ensure regulatory compliance, enhance customer experiences, and identify new revenue opportunities. It’s an FSI game-changer.

Public sector

For most government agencies, data is scattered from pillar to post. It cannot be accessed digitally, and it is not easily digestible. That all changes with Microsoft Fabric, where customers will be able to collect and store data in one single cloud location. ​

Government agencies will now be able to combine research and data across the public health sector and use machine learning and artificial intelligence to identify health risks and trends., leverage data to drive improved urban planning by offering better services and experiences, and stream data from IoT sensors and public utilities/transportation machinery can be ingested in OneLake with IoT Hub, for real-time analysis. ​

Retail Sector

Retailers face their own set of unique challenges when it comes to data. They often struggle with closing the gap between online and physical stores, integrating data in a meaningful way, and efficiently managing supply chains. With Microsoft Fabric,  they can leverage real-time data to inform their merchandising strategy, leveraging customer data to learn what target audiences value and curating personalised shopping experiences. ​

Retailers can also optimise digital spend by creating models that identify who and where to target buyers based on data trends, while tracking store activity by ingesting real-time data from in-store sensors and cameras will identify even more in-person areas for optimisation. ​

Lastly, and most likely top-of-mind for many retailers, is being empowered to deliver an intelligent supply chain. By using data to anticipate customer demand on a local and global scale, retailers can get the right product, at the right price, to the right customer, at the right time – closing the gap between demand and fulfilment.​

Manufacturing

The manufacturing sector generates vast amounts of data from sensors, machinery, enterprise systems, and human interactions. However, much of this data remains isolated, unstructured, and underutilised, restricting the potential for leveraging data-driven insights and fostering innovation.

Microsoft Fabric enhances manufacturing operations by integrating data from various sources into its unified platform, enabling real-time analytics and insights that allows manufacturers to monitor production processes continuously, optimise schedules, and perform predictive maintenance to reduce downtime and improve product quality. Advanced AI-driven tools facilitate better decision-making and operational efficiency, leading to cost reduction and increased productivity, and the cloud-based infrastructure of Fabric ensures scalability and flexibility, adapting to changing production needs and supporting long-term growth.

So, what’s next?

Many businesses are eager to revolutionise their data management and deploy Microsoft Fabric – but it’s important to understand how each solution can be tailored to your specific business needs before taking the leap.

We have an interactive workshop designed for you to understand exactly how you can adopt Fabric. Led by our Cloud Evangelist, Leon Godwin, this workshop is a two-way open discussion where you can build your business case and learn what your next steps should be.

Register your interest here, and let’s get your data journey started.

If you’re asking us, Microsoft Azure is the best cloud platform in the world. Sure, maybe as an Azure Expert MSP and one of Microsoft closest partners we’re biased, but no platform is better suited to successful, innovative, and expanding organisations than Azure.

It has more availability zones in more regions than any of its competitors, and its seamless integration with the much wider family of Microsoft products is a huge benefit to businesses.

But we aren’t blind to the fact that there are situations and scenarios that might require a slightly different approach. Whether it’s maintaining an on-premises datacentre as part of your IT landscape or you benefit from running a multi-cloud environment, Azure might not always be the perfect fit – but that doesn’t mean you should miss out on all of its advantages… and that’s where Azure Arc comes in.

So, what is Azure Arc?

Azure Arc is a family of services that enables you to extend the Azure management plane to any infrastructure – whether it’s on-premises, in other clouds, or at the edge. This means you can manage a diverse set of resources – be it servers, Kubernetes clusters, or databases – from a single, unified platform.

It puts your operations, management, security and governance capabilities under one pane of glass. Arc allows your Azure environment to interact with your AWS, Google Cloud or VMware estates seamlessly, creates a pathway between your cloud and on-premises platforms, and simplifies the management and maintenance of your entire IT ecosystem.

And it doesn’t stop there. Azure Arc-enabled services open up a whole host additional scenarios that include developing your containerised applications in the cloud, leveraging your on-premises Kubernetes clusters as custom locations, and using GitOps to push your applications out to wherever you need them. Microsoft has also enabled a number of containerised PaaS services to be deployed to these custom locations, including data services, app services, and machine learning.

It opens up a world of opportunity for your business and its IT ecosystem.

Benefits of Azure Arc

Now in full, this is a long list. We’ve tried to keep it short and snappy here, but there’s loads more to learn about on Microsoft’s website.

Unified Management

Managing a sprawling IT environment can be a nightmare. With Azure Arc, you get a single pane of glass to oversee your virtual machines, SQL servers, Kubernetes clusters, and vSphere/Hyper-V private clouds, wherever they are. This centralised management means you don’t need to juggle multiple consoles or worry about disparate systems.

Whether your resources are on-premises or in different clouds, Azure Arc brings them under one roof. This not only simplifies operations but also makes it easier to enforce policies and monitor performance.

Consistency and Compliance

Maintaining consistency and compliance across various environments can be challenging, especially with ever-evolving regulation. The governance features in Azure have helped numerous customers to become compliant and Azure Arc extends that capability to ensure that your governance and security is more consistent.

It allows you to apply and enforce policies across all your resources using Azure Policy to give you a central view of your governance posture, highlighting the resources that need remediation, and giving you additional tools to help ensure your estate is fully compliant.

Cost Efficiency

Managing costs is a top priority for any organisation. Azure Arc helps you optimise resource allocation and utilise Azure’s cost management tools to achieve significant savings.

By extending Azure’s robust cost management and optimisation features to your entire environment, you know that you’re getting the most out of your existing investments while taking full advantage of cloud capabilities, and helping your team to address the skills gap as you accelerate your innovation journey. This hybrid cost model can be especially beneficial for companies looking to balance performance and budget.

Use Cases

Let’s apply some Azure Arc use cases to a few fictional organisations to put things into context.

Hybrid Cloud Monitoring

• Scenario: Eric Entertainment, a large multinational enterprise with a mix of on-premises and cloud-based applications, wants to monitor its diverse and sprawling cloud environment.
• Solution: Using Azure Arc, Eric Entertainment can manage its entire infrastructure seamlessly. By using Azure Monitoring across its whole estate, the protection of Microsoft Defender for Cloud and Microsoft Sentinel will reach even further, and keep the organisation safe in the face of a growing, and increasingly complex, threat landscape.

Achieve compliancy across your estate

• Scenario: The Department for Hedgehogs needs to prove its compliance with UK OFFICIAL and ISO 27001 across the whole estate.
• Solution: The organisation can extend Azure Policy’s compliance reporting across the entire infrastructure estate with Azure Arc They will gain visibility of virtual machines that are non-compliant with standard Guest Configuration policies within the UK OFFICIAL and ISO 27001 policy initiatives, and be able to consolidate tooling and processes for a uniform approach.

Automate at scale

• Scenario: Spikey Shoes, an international footwear manufacturer, has IT systems spread across multiple head office and factory locations and wants to innovate quickly.
• Solution: Azure Arc simplifies operations and gives the organisation new tools to help manage its estate. You can use Azure Update Management v2 for your patching, or Azure Arc as the vehicle to manage your Extended Support Update licences. Azure virtual machine extensions will enable you to run scripting at scale, apply declarative configurations, centralise certificates and secrets, and more, while you use Windows Admin Centre and SSH to manage your Windows and Linux machines wherever they are, without exposing them to the internet.

Disaster Recovery and Backup

• Scenario: Homes4Hedgehogs, a national charity, is seeking robust disaster recovery solutions to ensure operational continuity in case of unforeseen disruptions.
• Solution: Azure Arc allows for seamless integration with Azure’s backup and disaster recovery services, which ensures data protection and business continuity, even in the face of disaster. For instance, by using Azure Site Recovery in conjunction with Azure Arc, the organisation can replicate on-premises workloads in Azure, ensuring that critical applications and data are always available, even if the primary datacentre experiences an outage.

How to Get Started with Azure Arc

It might all sound rather complex, but getting started with Azure Arc is easier than you might think. Here are a few steps to help you begin:

1. Assess your environment: Start by evaluating your current infrastructure. Identify the resources you want to manage with Azure Arc – such as servers, Kubernetes clusters, or databases.

2. Connect Your Resources: Use the Azure portal to connect your resources to Azure Arc. This involves installing the Azure Arc agent on your servers and registering your Kubernetes clusters.

3. Apply Policies and Configurations: Leverage Azure Policy to apply configurations and enforce compliance across all your connected resources. This ensures that your entire environment adheres to the same standards.

4. Monitor and Manage: Use Azure Monitor to keep an eye on the performance and health of your resources. Azure Arc provides a centralised view, making it easier to detect and address issues promptly.

5. Scale and Optimise: Take advantage of Azure’s scalability and optimisation tools to manage costs and resources efficiently. Azure Arc allows you to scale your infrastructure based on demand, ensuring that you’re always prepared for any workload.

Azure Arc is a game-changer for organisations looking to streamline their IT operations, ensure consistency, and harness the full power of the cloud. Whether you’re managing hybrid environments, edge computing, or optimising DevOps processes, Azure Arc’s got your back.

With a unified management platform, by enhancing compliance, and offering flexibility and scalability, Azure Arc empowers you and your business to achieve more.

 

Want to learn more from the experts? You can level up your IT infrastructure by partnering with a successful, experienced cloud managed service provider like Cloud Direct. To find out more about how we can help you, let’s chat.

Organisations within the NHS are facing growing public uncertainty around the safety of their data. Results from a recent survey on public attitudes to data in the NHS show that four out of five patients worry that NHS IT systems may be vulnerable to cyber-attacks. Just recently, a ‘large volume’ of data was stolen from NHS Dumfries and Galloway and published on the dark web. Acts like these are increasing across NHS and social care organisations in the UK and show no signs of slowing down.  

With increased remote working and Bring Your Own Device policies implemented in the NHS since the onset of COVID-19, security protection has faltered – and organisations must find a turning point.

It’s critical that the NHS and social care organisations win back the trust of the public and guarantee that patient data is in safe hands. With the publication of its Cyber Security Strategy to 2030, the government has identified the need for increased training and continued self-assessment through the Data Security and Protection Toolkit, but that doesn’t just happen. It’s time for health and social care organisations to take a proactive approach to cybersecurity resilience before threats become a reality.  

Why are NHS organisations increasingly targeted?  

The NHS is a behemoth. It is the UK’s largest employer, with more than 1.3 million full-time staff. This alone makes it a high-value target for cybercriminals, but the personal and confidential nature of the data it holds also plays a key role.

An organisation this large can be extremely difficult to keep secure, but why is that?  

Resource Constraints

• It’s a common belief that the NHS is underfunded, and these financial implications can impact the NHS’s ability to invest in robust cybersecurity infrastructure.
• With the NHS facing one of the worst staffing crises in its history, the number of trained personnel is getting scarcer across all departments, and the ability to retain cybersecurity experts is difficult due to competition from other sectors.

Inefficient Infrastructure

• The NHS is made up of thousands of hospitals, GP surgeries, clinics and administrative units, each with its own IT systems
• These inconsistencies in infrastructure, legacy systems, and lack of standardisation can make it harder for organisations to implement cohesive security measures
• The ability to upgrade and secure such a diverse landscape can pose a significant challenge to IT and Security leaders

Easy target for cybercriminals

• The NHS holds vast amounts of sensitive patient data that can be sold, making it an attractive target for cyberattacks
• Ransomware attacks, data theft, and indiscriminate malware campaigns are specifically created to target healthcare institutions and their infrastructure 
• The consequences of successful attacks can disrupt patient care, compromise privacy and damage the reputation of the NHS

To help address these challenges, the NHS and the Department of Health and Social Care have developed a comprehensive cybersecurity strategy, which aims to enhance resilience, improve information sharing and protect valuable patient data. What can you do to get on board and rethink your cybersecurity strategy? 

Introducing the Microsoft Security Toolkit 

If you’re looking to start improving your security posture and stay safe from threats, now is the time. Microsoft has invested over $20 billion in its security offerings to help organisations stay safe.

Developing a comprehensive set of security tools that are already being integrated into some NHS organisations through a landmark deal with Microsoft in 2023. These include…

• Microsoft Defender
• Microsoft Sentinel
• Microsoft Purview
• Copilot for Security

You have probably used, or at least heard of, some of these products, but ones like Copilot for Security and Purview may be new to you – let’s take a deeper dive into each one and understand how these Microsoft Cloud Security tools can benefit your NHS organisation. 

Microsoft Defender 

The Microsoft Defender suite is a collection of products that will really bolster your security standing. Different versions of Defender, such as for Cloud, Cloud Applications and Microsoft 365 are designed to keep all areas of your organisation protected. The most popular among NHS organisations is Microsoft Defender for Endpoint. 

Defender for Endpoint is a detection and response, enterprise endpoint security platform that is designed to prevent, detect, investigate, and respond to real-time advanced threats. It improves overall cyber security capabilities, and NHS organisations stand to benefit from enhanced Cyber Security Operations Centre (CSOC) services, which further improves cyber security protection for the NHS.  

The platform gathers network telemetry from devices like laptops, PCs, servers and phones, and send it to Microsoft Cloud services to detect potential cybersecurity threats, before acting to prevent the spread of these threats across the network. Defender alerts local system managers and the CSOC to potential security incidents, offering a real-time, organisation-wide view down to individual devices. This allows the CSOC to quickly coordinate responses, minimising disruption to clinical services.  

Microsoft Sentinel 

Microsoft Sentinel is a Security Information and Event Management platform that gives NHS organisations the visibility to see and stop threats across the entire organisation. Built on the cloud, it offers intelligent security analytics that can help health and social care organisations stay ahead of sophisticated threats.  

Sentinel offers key benefits for NHS organisations by centralising network monitoring and providing real-time visibility and threat detection. This 24/7 transparency helps protect sensitive patient data and ensures operational continuity with scalable, cloud-based architecture, reducing costs and integrating data from various sources for a comprehensive security view. Sentinel minimises false positives, proactively identifies threats, and automates routine tasks, freeing up IT staff for more complex challenges. Its deep investigation tools help NHS organisations understand and address the root causes of security incidents, enhancing their overall cybersecurity posture.  

Microsoft Purview 

Microsoft Purview is a comprehensive data governance and compliance solution that helps organisations manage and protect their data across various environments, including on-premises, multi-cloud, and SaaS applications. It offers capabilities such as data discovery, classification, and lineage tracking to ensure data is managed and utilised effectively while maintaining compliance with regulatory requirements.  

For a health organisation using Purview, you can benefit from detailed visibility into data usage and access, lowering the risk of data breaches and ensuring that only authorised personnel can access critical data. By tracking data flow and improving data quality with lineage and lifecycle management, Purview streamlines data management and helps mitigate risks by identifying and addressing data issues early, preventing potential problems. Automating governance tasks with Purview also allows IT staff to focus on strategic initiatives, improving overall operational efficiency. 

Copilot for Security 

Copilot for Security, launched on 1^st April 2024, is a feature integrated into Microsoft’s security solutions, leveraging advanced AI and machine learning to assist security teams in identifying, responding to, and mitigating threats. Built on the foundation of Microsoft’s comprehensive security platforms, Copilot for Security aims to enhance the efficiency and effectiveness of security operations.  

For NHS organisations, it can enhance the ability to protect sensitive data, ensure compliance with regulatory standards, and improve overall security posture. By automating routine security tasks and providing advanced threat detection capabilities, it allows IT and security teams to focus on more critical and strategic aspects of their operations. The AI model can also continually learn from new threats and security incidents, improving its capabilities and making sure your NHS organisation is more secure. 

Want to learn more about Copilot for Security? Here’s a quick introduction.  

What’s next?  

As we know, data security is always a top priority for NHS organisations, and we don’t want your organisation to fall victim to a cyberattack. Every year, health and social care organisations that have access to NHS Patient Data and Systems should complete a Data Security and Protection Toolkit self-assessment, to benchmark itself against the National Data Guardian’s 10 data security standards.  

To make sure you exceed these standards, be proactive and make sure you are continually reviewing your cyber security strategy. Make sure you have the latest and innovative cloud cybersecurity tools integrated within your IT systems that align with your security strategy and goals.  

Now that you know about the cloud security tools available to help your NHS organisation stay secure, you can start to explore options, like partnering with a Cloud Managed Service Provider. By working with a CMSP, you unlock unrivalled, around-the-clock, in-depth expertise and guidance.  

An Azure Expert MSP, like Cloud Direct, can also gain you access to Microsoft funding pots that other partners can’t, which could unlock exciting opportunities for your NHS organisation to de-risk and accelerate your security performance.  

Cloud Direct offers funded assessments and workshops that link to the Microsoft Security Toolkit, so if you’re interested in exploring these options then get in touch with a member of our team and find out how you can add a little sparkle to your security journey.  

Public sector organisations are feeling the pinch. They’re facing uncertain futures and, clampdowns across all areas of spending, which is putting a strain on resources and affecting the services they provide for their communities.  

With stricter budget controls, many public sector IT leaders fear spending on new technology. But, as a result, they are missing out on opportunities that, in this day and age, they simply can’t afford to pass up on. Tied with ever-evolving cybersecurity threats towards the public sector, the risk of doing nothing is growing. But you’re probably thinking, what has this got to do with cloud technology?  

With the fear of spending, the increase in security threats and let’s not forget, the increasing costs of on-premises infrastructure like VMWare, a balance needs to be found. The answer to all these issues? Cloud technology. Let’s dive into Cloud Economics 101 so that you can understand the benefits, costs and principles of cloud technology to help you find that balance.  

What is cloud economics? 

Simply put, cloud economics is the process of understanding the costs involved with ownership of cloud technology, the benefits of cloud technology over on-premises infrastructure, and ongoing cost optimisation strategies that will maximise your cloud return on investment. As a public sector IT leader, it can be tempting to hop straight into a digital transformation journey and assume the costs and benefits involved, but it’s not usually quite so black and white.  

So why is it important to consider cloud economics?

• It can help you align your cloud investment with business goals, which will help you budget and invest efficiently and make sure you are supporting your goals, like security compliance or streamlined operations.
• You can assess where you should start to enhance innovation by looking at the financial effects of different cloud services and can innovate within a cost-effective framework that empowers innovation.
• Public sector organisations can optimise their cloud spending and cloud resources, meaning you can start to find savings in cloud costs with services you may not be using, allowing you to reallocate resources to other cloud areas that can foster growth.
• A thorough cloud economics analysis helps make a business case for migrating from on-premises infrastructure to the cloud. A cost-benefit analysis can help you:
  • Curate a clear business case, including how to measure performance over time
  • Compare the risks and rewards associated with the cloud vs on-premises
  • Decide whether you want to move all components to the cloud, or only migrate some applications to the cloud

Overall, cloud economics is about understanding the financial implications of cloud adoption and optimising resource utilisation to achieve business objectives effectively and efficiently. There are a few areas of cloud economics to take a closer look at… 

Total Cost of Ownership

When it comes to cloud technology, the total cost of ownership (TCO) covers the costs incurred with adopting and operating cloud technology. Getting an accurate TCO for the cloud means evaluating the price differences between on-premises and cloud solutions, as well as the tangible benefits of each, to help you come to a decision.  

For a public sector organisation, IT costing is imperative and undertaking a sound TCO of your cloud solutions can make sure you are adopting technology that aligns with your objectives and budget constraints.  

Cloud solutions like Microsoft Azure enable public sector organisations to conduct comparative TCO analyses between different deployment options, such as on-premises infrastructure and cloud solutions. Azure’s TCO Calculator allows public sector organisations to input their current infrastructure costs and usage patterns and compare them with the projected costs of deploying equivalent workloads in Azure. This can help public sector organisations make informed decisions about the most cost-effective deployment options based on their specific requirements and budget constraints.  

Overall, the goal is to achieve a lower TCO compared to on-premises infrastructure, but it can also be about justifying a higher TCO by making sure the tangible benefits of cloud solutions are listed as well. 

CapEx vs OpEx 

Many public sector organisations are still paying for traditional on-premises IT infrastructure that requires upfront investment in hardware, software licenses and data centre facilities. Public sector organisations may face continued challenges in securing funding for capital expenditures, especially when budgets are limited, and on-premises infrastructure costs are rising.  

With the cloud, spending is often shifted from a Capital Expenditure (CapEx) model to Operational Expenditure (OpEx), meaning public sector organisations will pay for the cloud services on a recurring basis, typically monthly or annually, rather than in lump sums. This pay-as-you-go model aligns expenses with actual usage, providing greater financial flexibility and predictability. By moving to an OpEx model of spending, public sector organisations can redirect funds towards other strategic initiatives, such as improving service delivery, enhancing citizen engagement, or investing in innovation.  

OpEx-based cloud pricing also enables public sector organisations to better align IT spending with revenue streams and operational budgets. This flexibility allows public sector organisations to respond more effectively to budget constraints, economic fluctuations and unforeseen events without sacrificing service quality or performance.  

Pay-as-you-go model 

Shifting to an OpEx model unlocks the ability to operate on a pay-as-you-go model or subscription-based pricing model, meaning that you end up only paying for the resources that you need.  

For many public sector organisations that have limited budgets and are under pressure to optimise their spending while still delivering essential public services, a pay-as-you-model, much like Microsoft Azure’s, eliminates the need for large upfront investments in the future. This means it can help you to better manage your finances by avoiding over-provisioning of resources typically seen with legacy on-premises set-ups. 

Let’s also not forget the scalability and flexibility of cloud technology. For example, Azure’s pay-as-you-go model enables public sector organisations to scale their resources up and down depending on expected or unexpected demand. By leveraging this pay-as-you-go model, public sector organisations benefit from cost savings, increased cloud agility and scalability, while avoiding any unnecessary financial constraints that can come with on-premises infrastructure.  

Cost optimisation 

Cloud economics also involves optimising your cloud costs by selecting the right mix of cloud services and pricing options. By leveraging cost optimisation strategies and tools, public sector organisations can effectively manage their cloud expenses and maximise the value of their cloud investments.  

Within Microsoft Azure, there are several tools and services that can help you identify cost-saving opportunities.

• Azure offers a wide range of virtual machine (VM) types and sizes, allowing public sector organisations to match their workloads to the most cost-effective and performance-optimised configurations. Azure Advisor provides recommendations for rightsizing VMs based on historical data usage, helping public sector organisations identify over-provisioned or under-utilised instances and rightsize them to minimise costs while maintaining 
• Azure Cost Management and Billing provides insights into spending patterns and identifies opportunities for optimisation, such as consolidating underutilised resources, optimising storage usage, or leveraging serverless computer services like Azure Functions. It can also monitor and optimise cloud spending continuously, allowing public sector organisations to set budgets, configure alerts for cost overruns, and implement policies to enforce cost-saving measures.
• Azure Hybrid Benefit enables public sector organisations to apply existing on-premises Windows Server or SQL Server licenses to Azure VMs. This significantly reduces costs as you’ll be leveraging your on-premises investments in the cloud. 

Cloud cost optimisation is important for public sector organisations to ensure efficient use of resources, maintain financial accountability, improve operational efficiency, support innovation, manage risks and contribute to sustainability efforts. These benefits collectively enhance the organisation’s ability to serve the public effectively.  

Value-based pricing  

When looking at cloud economics, you need to go beyond just focusing on the costs and look at what value the cloud can bring to your public sector organisation. You should assess what strategic benefits you will gain with cloud adoption, such as its scalability and how it can help streamline operations and empower innovation.  

Let’s take a look at how Microsoft Azure can offer value… 

• Azure’s cloud services allow public sector organisations to adjust their infrastructure based on real-time needs. This flexibility supports the rapid development and deployment of new services or the scaling of existing ones without the delays associated with on-premises procurement and set-up
• Azure offers access to a wide range of innovative technologies like its Azure AI Studio and Azure Machine Learning. With these technologies at your fingertips, you can empower innovation and enhance your public services
• Azure’s robust analytics platforms, like Synapse Analytics and Power BI, can allow public sector organisations to make more data-driven decisions. For example, we often hear of smart city initiatives using data analytics to optimise traffic management, reduce energy consumption and improve public safety
• Azure supports various collaboration tools and platforms, such as Microsoft Teams and SharePoint, which can help facilitate improved communication and coordination between stakeholders and groups within public sector organisations. 

The values which Azure provides are limitless, but we wanted to demonstrate a few examples to show the effect of value-based pricing as part of cloud economics. By focusing on these values, public sector organisations not only reduce costs but also gain strategic advantages through enhanced agility, innovation and operational efficiency. These benefits ultimately translate into improved public services and better resource management.  

So, we’ve gone through some of the key principles of cloud economics, but what’s next?  

Many public sector organisations will have to create strategic business cases and follow strict guidelines when it comes to adopting new technology. There is no one-size-fits-all approach to public sector organisations, but we do know the final decision doesn’t just come down to the IT team.  

Quite often in public sector organisations, we see wider project teams making these big decisions. Led by the IT team, project teams are made of key stakeholders, like board directors, financial leaders, legal, and end users such as other departments and agencies within your organisation. By considering all of these principles and assessing cloud economics, you can help create a strong business case and demonstrate the financial implications and benefits of cloud adoption for your public sector organisation to each of these parties. 

By thoroughly assessing these cloud economic principles, you greatly increase the chances of getting your organisation’s stakeholders on board and quell any fears that they have about the costs involved in a cloud migration.  

What’s next?  

Understanding the costs involved with a cloud migration project can be complex, but you don’t have to do this alone. By engaging with a Cloud Managed Service Provider that has all the appropriate Microsoft Azure accreditations, together you can identify the value of an Azure adoption and lay the right foundations for a successful migration project.  

We offer Microsoft Solution Assessments which can help with cost modelling, target state planning, and discovering how much Microsoft funding you are eligible for. These assessments will also help you develop a clear Azure migration roadmap and business case that you can use to demonstrate the costs and value to your public sector stakeholders. Get in touch, and let’s get going.

There’s no denying that the retail landscape is fiercely competitive, with exceptional customer experience often deciding who comes out on top. One way to get ahead – and stay ahead – of the competition is by embracing cutting-edge cloud technologies like Microsoft Azure. With its suite of cloud and innovative services, Azure offers an extensive list of benefits for retailers that can enhance their customer experience, and we’ve picked out six of the best.

Scalability and Flexibility

One of the foremost challenges retailers face is being able to manage fluctuating demand, especially during peak trading seasons or promotional events. With Azure, retailers have access to unparalleled scalability that can help them dynamically scale their infrastructure up or down based on demand. Whether it’s handling a sudden surge in website traffic or ramping up power for data analysis, Azure ensures retailers have the resources they need, exactly when they need them the most.

But what has this got to do with the customer experience? Well, with this level of flexibility and scalability, you and your customers can trust that you won’t have to worry about any IT infrastructure constraints that hinder your services – which keeps your customers happy!

Data-driven Insights

Data, data, data – you might be getting tired of hearing about it, but we can’t stress how important it is to your business! As a retailer, you have vast amounts of customer data at your fingertips, so don’t let it go to waste.

Knowing where to start with your data can be daunting, but this is where Azure’s advanced analytics capabilities come in. Azure offers a suite of tools, including Azure Machine Learning and Azure Synapse Analytics, that gives retailers the ability to gain valuable insights into customer preferences, behaviour patterns and trends. Armed with this knowledge, you can personalise marketing efforts, optimise inventory management and anticipate customer needs, enhancing the overall shopping experience.

We’ve covered this in more detail in a separate blog post about  how data and AI can transform the customer experience.

Omnichannel Integration

Today, customers expect a seamless shopping experience across multiple channels – whether they’re online, in-store, on a mobile device or the app. Microsoft Azure facilitates omnichannel integration by providing a unified platform for retailers to manage their digital presence, allowing you to integrate e-commerce platforms, mobile apps, point-of-sale systems and CRM tools to ensure consistency and coherence across all touchpoints. An omnichannel approach enables retailers to deliver a cohesive and personalised experience to customers, whichever way they choose to interact with your company.

Security and Compliance

We live in an era where sophisticated cyber attacks are increasing and regulatory requirements are getting much stricter, meaning enhanced security measures and compliance are of paramount importance for retailers. Azure offers industry-leading security features and compliance certifications, providing retailers with peace of mind when it comes to protecting sensitive customer data.

From advanced threat detection and a zero trust approach to encryption and identity management, Azure helps to protect retail applications and infrastructure from all anglespossible cyber attacks. Furthermore, Azure’s compliance with standards such as GDPR means retailers remain compliant with regulatory mandates, reducing the risk of fines and reputational harm. A secure retail envrionemtn ultimately leads to gaining, and maintain, the trust of your customers.

Access to the Microsoft Ecosystem

It’s no secret that an Azure migration gives retailers access to a wider range of innovative Microsoft tools and services, like Dynamics 365 and Office 365, which empower retailers to streamline business processes from inventory management to customer service. For example, you can leverage Azure AI’s capabilities to power chatbots within Dynamics 365 Customer Service, giving customers instant support and a better overall experience.

And let’s not forget that all important data. Azure’s interoperability with familiar tools like Microsoft Power BI allows retailers to visualise and analyse data easily, driving informed decision-making for your business.

Unrivalled Innovation

Microsoft’s commitment to innovation and its future-ready capabilities make it an excellent choice for retailers that are aiming to enhance their customer experience. Azure is a continually evolving platform, with new features, services and improvements that retailers can leverage to unleash innovation unveiled all the time.

For example, some retailers are already using its AI and Machine Learning abilities tools to analyse customer data, predict trends and personalise customer interactions. Many are also using these innovative tools for demand forecasting, helping retailers to predict demand accurately, and optimising inventory management so that their customers are always happy. The possibilities are endless.

 

It’s clear that Microsoft Azure is the way forward for retailers who want to innovate, grow and improve their customer experience. Now you’ve learnt a little more about its advanced scalability, omnichannel integration and security, you can grow your retail business with data-driven insights and its unrivalled innovative AI tools, and add sparkle to your retail business by delivering personalised and secure experiences that keep your customers coming back for more!

What can you do next?

We know that Microsoft Cloud and its advanced tools and capabilities will be crucial to the long-term success of your retail organisation. As a leading UK Microsoft Solutions Partner and Azure Expert Managed Service Provider, we can assist you in your digital transformation journey.

Whether you’re at the forefront of innovation or just starting out on your digital transformation journey, our experts are here to help you make the most of technology – so let’s talk.

While you’re here, check out our Microsoft Cloud Bootcamp for Retailers webinar. In this two-part on-demand series, hear from Leon Godwin, Cloud Evangelist, about the seven steps you can take to transform your customer experience.