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Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # Agile: Agile is a UK data, cloud and AI consultancy helping organisations modernise, manage and monetise data to drive better decisions and measurable outcomes. ## Sitemaps [XML Sitemap](https://agile.co.uk/sitemap_index.xml): Includes all crawlable and indexable pages. ## Posts - [Valda Case Study](https://agile.co.uk/valda-case-study/): How Valda Energy engaged with Agile to define a scalable data platform strategy aligned to future growth and evolving analytical demand. - [West Midlands Fire Service Case Study](https://agile.co.uk/west-midlands-fire-service/): How West Midlands Fire Service engaged with Agile to provide a practical roadmap for transformation that would improve efficiency, resilience and long term scalability. - [Case Study Atradius Migration to IDMC](https://agile.co.uk/case-study-atradius-migration-to-idmc/): Atradius partnered with Agile to modernise its Informatica data integration platform and create a clear path towards Informatica Intelligent Data Management Cloud (IDMC). With the existing PowerCenter environment out of support and limiting future scalability, Atradius needed a low risk approach that would modernise infrastructure while maintaining continuity across critical business processes and regulatory reporting. - [Higher Education Institution Build a Defensible Information and Records Management Framework](https://agile.co.uk/higher-education-institution/): Discover how Agile helped a higher education institution strengthen records management across Microsoft 365, SharePoint, and Purview. - [IRM Data Governance 2025: My Thoughts](https://agile.co.uk/irm-data-governance-2025-my-thoughts/): Hear about one of the key data events of the year, IRM 2026, from one of our senior consultants. - [Webinar – Trusted AI Starts with Trusted Data](https://agile.co.uk/webinar-trusted-ai-starts-with-trusted-data/): Public sector teams are under pressure to move quickly on AI, but speed without trust creates risk. The foundation of effective AI is still good data. In this webinar, Agile and Informatica share a practical approach to AI readiness that helps organisations improve data quality, build confidence, and scale responsibly. - [Major UK Government Agency Lay the Foundations for Trusted, Cloud Ready Data](https://agile.co.uk/major-uk-government-agency-lay-the-foundations-for-trusted-cloud-ready-data/): Discover how Agile helped a major UK government agency strengthen data quality, reduce manual effort and create a clearer route to cloud adoption. - [Informatica PowerCenter support deadlines: why UK data teams should modernise now](https://agile.co.uk/informatica-powercenter-support-deadlines-why-uk-data-teams-should-modernise-now/): If you run Informatica PowerCenter on premises, support deadlines are now driving real cost and risk decisions. Many UK data managers are being asked to pay more simply to keep the lights on, while their organisations still carry the operational and security burden of an ageing platform. - [Agile joins the Leeds Tech Map 2026](https://agile.co.uk/agile-joins-the-leeds-tech-map-2026/): Agile is proud to announce our inclusion in the Leeds Tech Map 2026, which was launched on Tuesday evening. The Leeds Tech Map is a visual guide to the city’s digital and technology ecosystem, bringing together hundreds of organisations across software, data, health tech, fintech and creative tech. - [Agile welcomes Paul Kearsey as Head of Practice – Data Strategy & Governance](https://agile.co.uk/paul-kearsey-head-of-data-strategy-governance/): Agile is pleased to welcome Paul Kearsey as our new Head of Practice for Data Strategy & Governance, strengthening our ability to help organisations deliver meaningful, sustainable data-led transformation. - [Cloud Modernisation Roadmap: A Quick-Start Approach](https://agile.co.uk/cloud-modernisation-roadmap-a-quick-start-approach/): Migrating legacy systems to the cloud can seem more daunting than it should be, especially when many organisations have been burned before by data and modernisation projects. There may be some reluctance, or colleagues might be aware that it is more or less inevitable, but fear it will be a painful process. - [From ad hoc publishing to an Open Data service that’s fast, compliant and loved by users](https://agile.co.uk/user-centred-open-data-service-for-energy-networks/): Agile helped move from ad hoc publishing to an Open Data service by installing and upskilling a Data Portal Manager; standardising triage with a clear risk matrix, a Data Triage Committee, Data Surgery sessions, and a 20-day SLA tracked in Azure DevOps; and improving policy and interoperability (aligned to ENA playbooks and Dublin Core) so datasets are easier to find, understand and reuse. The impact: faster cycle times with better auditability, improved user experience and adoption through clearer metadata/consistent controls, stronger regulatory confidence, and a culture shift where Open Data becomes the natural outcome of governance, not an afterthought. - [Empowering a large energy organisation with secure AI-powered document search](https://agile.co.uk/ai-adoption-energy-sector-case-study/): A leading UK energy organisation manages a vast library of technical and operational documentation (engineering standards, safety procedures, project specifications) and finding the right information quickly often relied on specialist staff with deep organisational knowledge. They wanted a secure, AI-powered search experience that could surface accurate, contextually relevant answers while staying fully compliant with stringent security and governance policies, operating entirely within their internal network and supporting multiple formats (PDFs, Word, CAD specs and scanned images). - [From scattered ownership to fast, dependable, value ready data](https://agile.co.uk/azure-devops-data-governance-integration-uk-energy/): A large UK energy organisation supplying power to 3.9m+ customers needed data governance that could keep pace with rapid growth without slowing delivery in a heavily regulated environment. Although group standards existed, adoption was inconsistent: unclear ownership, patchy documentation, and ad hoc quality controls, alongside rising Open Data expectations and accelerating AI ideas creating risk, duplication and slower decisions - [Data Modernisation in Financial Services](https://agile.co.uk/data-modernisation-in-financial-services/): It is not a surprise that the entire industry is engaged in Data Modernisation. The threat of not doing so is as great as the opportunity that Modernisation offers. - [Modernising Data Management in the UK Public Sector](https://agile.co.uk/modernising-data-management-in-the-uk-public-sector/): You and your team will know better than anyone the pressure that results when data systems aren’t fit for purpose. When the Department for Science and Technology shared that legacy systems cost £45bn in annual productivity savings, that was just putting a pound figure on the stress that you and the department are bearing. - [How a large UK energy organisation adopted AI with confidence](https://agile.co.uk/adopting-ai-in-the-energy-sector/): Agile partnered with a major UK energy provider to move AI from fragmented experimentation to a safe, scalable capability. By introducing clear AI policies, standardised impact assessments, practical MLOps foundations and hands-on training, Agile helped teams deliver explainable, regulator-ready AI without slowing innovation. - [Strengthening Data Governance for a leading housing provider](https://agile.co.uk/data-governance-for-housing-providers-case-study/): A major housing provider managing over 15,000 homes needed stronger data foundations to improve safety, compliance and service efficiency. Their Fire Risk Assessment data lacked clear governance, stewardship and a single trusted source. Agile helped design a central data hub, guiding data models, workflows and quality processes through structured workshops and expert advisory support. - [Leading financial organisation strengthened its data management](https://agile.co.uk/financial-data-management-strengthening/): After implementing Informatica Intelligent Data Management Cloud (IDMC), this organisation needed a reliable managed service to improve performance, strengthen governance, and increase platform resilience without slowing down day-to-day operations. - [Transforming fragmented energy data into a trusted, scalable foundation](https://agile.co.uk/building-a-scalable-data-platform-for-energy-sector/): Download the full case study to see how Agile delivered a modern, scalable data platform that drives measurable impact.JTNDZGl2JTIwY2xhc3MlM0QlMjJocy1jdGEtZW1iZWQlMjBocy1jdGEtc2ltcGxlLXBsYWNlaG9sZGVyJTIwaHMtY3RhLWVtYmVkLTMzODUxMzg3MTA5MCUyMiUwQSUyMCUyMHN0eWxlJTNEJTIybWF4LXdpZHRoJTNBMTAwJTI1JTNCJTIwbWF4LWhlaWdodCUzQTEwMCUyNSUzQiUyMHdpZHRoJTNBMjAycHglM0JoZWlnaHQlM0E1MC4zNzEwOTM3NXB4JTIyJTIwZGF0YS1odWJzcG90LXdyYXBwZXItY3RhLWlkJTNEJTIyMzM4NTEzODcxMDkwJTIyJTNFJTBBJTIwJTIwJTNDYSUyMGhyZWYlM0QlMjJodHRwcyUzQSUyRiUyRmN0YS1ldTEuaHVic3BvdC5jb20lMkZ3ZWItaW50ZXJhY3RpdmVzJTJGcHVibGljJTJGdjElMkZ0cmFjayUyRnJlZGlyZWN0JTNGZW5jcnlwdGVkUGF5bG9hZCUzREFWeGlnTElOSTd4TUowVWlDbEZzR2xTcVhWeXhSRDZCcjlyUEltcHE2VkRjUyUyNTJGSEVKeExBWElZTGhicTNFV2xPS2NRRmU0QiUyNTJCa1lNWWN6bTdCVnRyY09JYmx4bk1lN0ZKeldiMm9Kdm04WVZCd2ZYeG9POCUyNTNEJTI2d2ViSW50ZXJhY3RpdmVDb250ZW50SWQlM0QzMzg1MTM4NzEwOTAlMjZwb3J0YWxJZCUzRDE0NTgyMTM2OSUyMiUyMHRhcmdldCUzRCUyMl9ibGFuayUyMiUyMHJlbCUzRCUyMm5vb3BlbmVyJTIyJTIwY3Jvc3NvcmlnaW4lM0QlMjJhbm9ueW1vdXMlMjIlM0UlMEElMjAlMjAlMjAlMjAlM0NpbWclMjBhbHQlM0QlMjJSZWFkJTIwdGhlJTIwY2FzZSUyMHN0dWR5JTIyJTIwbG9hZGluZyUzRCUyMmxhenklMjIlMjBzcmMlM0QlMjJodHRwcyUzQSUyRiUyRmh1YnNwb3Qtbm8tY2FjaGUtZXUxLXByb2QuczMuYW1hem9uYXdzLmNvbSUyRmN0YSUyRmRlZmF1bHQlMkYxNDU4MjEzNjklMkZpbnRlcmFjdGl2ZS0zMzg1MTM4NzEwOTAucG5nJTIyJTIwc3R5bGUlM0QlMjJoZWlnaHQlM0ElMjAxMDAlMjUlM0IlMjB3aWR0aCUzQSUyMDEwMCUyNSUzQiUyMG9iamVjdC1maXQlM0ElMjBmaWxsJTIyJTBBJTIwJTIwJTIwJTIwJTIwJTIwb25lcnJvciUzRCUyMnRoaXMuc3R5bGUuZGlzcGxheSUzRCUyN25vbmUlMjclMjIlMjAlMkYlM0UlMEElMjAlMjAlM0MlMkZhJTNFJTBBJTNDJTJGZGl2JTNFJTBB - [Modern data sourcing for the Public Sector](https://agile.co.uk/modern-data-sourcing-for-the-public-sector/): Public sector organisations are navigating a period of rapid change as expectations for digital services continue to grow. Meeting these expectations depends on high quality, well-managed and accessible data. Modern data sourcing has become a strategic priority for teams seeking to improve decision making, reduce operational complexity and prepare for the safe adoption of technologies such as AI. - [Key Takeaways: Think Data for Government 2025](https://agile.co.uk/key-takeaways-think-data-for-government-2025/): TLDR: The Think Data for Government 2025 event highlighted a shift in the public sector from isolated experimentation to collaborative problem-solving. While challenges like funding constraints, legacy silos, and skills gaps persist, there is a renewed focus on sharing solutions and standardising data practices. Key takeaways included the success of citizen-focused projects (like single-view debt management), the need to embed data literacy across all government roles, and the move towards converged technology platforms to ensure timely, accurate data delivery. - [Data, Sustainability, and ESG](https://agile.co.uk/data-sustainability-and-esg/): Climate reporting and sustainability present a daunting challenge to anyone responsible for them. The common obstacles are often overwhelming. An enterprise level business is operationally diverse and often elaborate, and its suppliers and value chain are extensive. Changing fundamental methods, practices, materials, or supply chains takes investment of time as well as budget. Even with vast amounts of data and information to use, arriving at a figure for something like carbon emissions can be gruelling and uncertain. - [Data and Digital IDs](https://agile.co.uk/data-and-digital-ids/): ID cards are back on the table, nearly two decades years after they were first planned by Tony Blair’s government, and abandoned by Gordon Brown’s. The current proposals from the Kier Starmer government would introduce ID cards digitally, and in the Prime Minister’s words, ‘You will not be able to work in the United Kingdom if you do not have digital ID. It's as simple as that.’ To call the policy controversial would be a serious understatement, with similar civil liberties’ opposition raised as were in the mid 2000s. However, supporters see immense potential for national security and service streamlining. If digital ID cards do arrive, what will be the key to success in preparation for their introduction, and during their use? - [The Body Shop’s data journey](https://agile.co.uk/the-body-shops-data-journey/): The Body Shop knew that data was key to improving customer engagement, sustainability and revenue — but they needed the right approach to make it happen. Partnering with Agile, they transformed their data landscape to modernise, manage and monetise their data — all within just three months. - [Building a smarter future: how a renewable energy leader mastered its data](https://agile.co.uk/mastering-data-infrastructure-in-renewable-energy/): A leading independent renewable energy provider, with more than 2,000 employees and operations spanning multiple sites, faced growing challenges with fragmented, inconsistent data. Information was scattered across ten systems and hundreds of spreadsheets, limiting visibility, increasing risk, and slowing decision-making. - [9.5 million customers: one cloud-based data view. Discover how this credit management company transformed with data](https://agile.co.uk/9-5-million-customers-one-cloud-based-data-view-discover-how-this-credit-management-company-transformed-with-data/): One of Europe’s largest credit management companies wanted to use data to get the best outcomes for their customers and their investors. They knew that reliable, up-to-date and accessible data was critical to: - [How a Leading Insurance Provider Strengthened Customer Insight and Data Trust with Informatica IDMC](https://agile.co.uk/how-a-leading-insurance-provider-strengthened-customer-insight-and-data-trust-with-informatica-idmc/): Driving customer-centric transformation through data masteryA leading FTSE 100 insurance provider partnered with Agile to unify fragmented policy systems and build a single, trusted view of the customer. Using Informatica’s Intelligent Data Management Cloud (IDMC), Agile delivered a Minimum Viable Product that laid the foundation for enterprise-wide data stewardship and improved customer insight. - [How Scottish Fire and Rescue is harnessing the power of Data, AI and Digital Transformation](https://agile.co.uk/scottish-fire-and-rescue/): How Scottish Fire and Rescue is Building a Smarter, Safer FutureThe Scottish Fire and Rescue Service (SFRS) is transforming the way it uses data and technology to keep communities safe and resilient. Recognising the growing importance of digital innovation, SFRS partnered with Agile to shape a bold new Digital, Data and Technology (DDaT) Strategy. This strategy builds on the organisation’s strong foundations, unlocking the full value of its people, platforms and partnerships. - [How one organisation removed the data barriers to vital business change](https://agile.co.uk/how-one-organisation-removed-the-data-barriers-to-vital-business-change/): Here’s how we deployed Data Governance and Master Data management solutions to address those issues and begin the client’s journey to becoming a truly data-driven organisation. Download the Case Study - [How an enterprise software business broke down their data silos](https://agile.co.uk/how-an-enterprise-software-business-broke-down-their-data-silos-2/): An enterprise software provider approached Agile to help eliminate their data silos. - [What is a digital twin?](https://agile.co.uk/what-is-a-digital-twin/): Digital twins replicate processes, hardware, and assets to simulate their behaviours and reactions. As you can imagine, that offers incredible potential for richer understanding of how things function and respond, providing rich answers to vital questions: - [Data for good: How the public sector can be safe and confident with AI](https://agile.co.uk/data-for-good-how-the-public-sector-can-be-safe-and-confident-with-ai/): The Alan Turing Institute estimates that 41% of public sector time could be AI-supported, and the UK Government’s AI strategy intends to ‘transform our public services with AI’. There is no ambiguity about the direction that public services are expected to take. AI is a matter of if, not when, and encouragement to adopt it will likely become requirement to do so. - [IWT London 2025 Roundup](https://agile.co.uk/informatica-world-tour-2025-data-readiness-for-ai/): Three global financial services IT leaders share their advice on why data management is critical to building the most exciting, and reliable, AI applications. - [Data, trust and scaling AI](https://agile.co.uk/data-trust-and-scaling-ai-in-financial-services/): Three global financial services IT leaders share their advice on why data management is critical to building the most exciting, and reliable, AI applications. - [MDM for the Energy and Renewables Sector](https://agile.co.uk/mdm-for-the-energy-and-renewables-sector/): Across the rapidly changing Energy and Renewables sector, the heat is on to find new ways to improve efficiency, transparency and customer experience, as well as drive mission-critical operations. In the face of these challenges and opportunities, data holds the key. - [Can you trust your AI? Why MDM is the missing link for financial services](https://agile.co.uk/can-you-trust-your-ai/): Poor quality data results in AI that can’t be trusted. Find out why Master Data Management is a step that you can’t skip in your AI strategy. - [Informatica World Tour London: Accelerate Your Path to AI-Ready Data](https://agile.co.uk/informatica-world-tour-london-2025-ai-data-management/): Informatica World Tour London is the leading AI and data management conference and your gateway to not just understanding AI but masterfully implementing it across your organisation. Join us there and uncover how the power of data can help transform your organisation. - [AI Webinar: Changing Gear, changing lanes, and reaching your destination](https://agile.co.uk/ai-webinar-on-ai-strategy-bespoke-vs-off-the-shelf/): This 40-minute webinar, "Changing Gear, Changing Lanes, and Reaching Your Destination," provides strategic guidance for CTOs and IT leaders navigating the AI journey. Experts discuss critical decision points on AI strategy, including whether to build your own (bespoke) or buy (off-the-shelf) AI models, using a data maturity model to assess readiness, and establishing the long-term governance and maintenance plans necessary to ensure model longevity and protect investment. - [Is your data working hard enough to deliver tangible efficiencies and benefits?](https://agile.co.uk/maximising-data-monetisation-value-roi/): Data users can spend between 30 and 40 percent of their time searching for data if a clear inventory of available data is unavailable, and they can devote 20 to 30 percent of their time to data cleansing if robust data controls are not in place. - [Transform your data into a strategic asset](https://agile.co.uk/transform-your-data-into-a-strategic-asset/): Our expert consultants help modernise your data assets for maximum ROI. - [Can your old infrastructure and architecture cope with the new demands of data?](https://agile.co.uk/modernise-data-infrastructure/): When Clive Humby declared that “Data is the new oil” in 2006, how many people predicted that around 402.74 million terabytes of data are being created every day and a predicted 181 zettabytes of data will be created in 2025? - [AI Webinar: If you’re not on the right road, why run?](https://agile.co.uk/ai-webinar-if-youre-not-on-the-right-road-why-run/): Navigating the Twists and Turns - [Data Governance & Data Fabric](https://agile.co.uk/data-fabric-consulting-data-governance-services/): In today's data-driven world, robust data governance isn't just a regulatory requirement, it's the cornerstone of effective decision-making, risk management, and unlocking new commercial potential. Many organisations face significant challenges that include: - [Data Fabric powered by, and enabling, AI](https://agile.co.uk/data-fabric-ai-and-machine-learning-solutions/): To democratise your data and unlock its power you need a robust Data Fabric, powered by and enabling AI - [AI Webinar: Before you run – are you on the right road?](https://agile.co.uk/ai-webinar-before-you-run-are-you-on-the-right-road/): The AI race is on, but do the runners know where they’re going? - [Can you bank on your customer data? An MDM guide for Financial Services](https://agile.co.uk/customer-data-management-in-banking/): TLDR: In the financial sector, fragmented customer information can lead to poor service, missed opportunities, and compliance risks. This guide examines the challenges of maintaining reliable data, such as duplicate profiles across mortgages, insurance, and banking, and explores how effective banking customer data management can address them. By implementing Master Data Management (MDM) to create a "single source of truth," financial institutions can ensure regulatory compliance (KYC/AML), automate due diligence, and deliver the seamless, personalised experiences customers expect. - [The virtuous circle of AI and Data Governance in Financial Services](https://agile.co.uk/ai-and-data-governance-in-financial-services/): The world is on course to generate 182 zettabytes of data in 2025. For scale, one zettabyte is about as many ‘bytes’ as there are grains of sand in the world. Anyone working with data in Financial Services will almost certainly feel the weight of the data volume that the organisation manages, and may at times find it overwhelming. While Data Governance has always been essential, the greater the data volume, velocity, variety that an organisation creates, receives and manages, the more pressing good governance becomes. - [Navigating Data Governance, Compliance & Security in Financial Services](https://agile.co.uk/data-governance-in-financial-services/): TLDR: In the data-intense financial sector, a lack of trust in data stalls decision-making and hampers innovation. This guide to data governance in financial services explains how to move beyond simple compliance to create a secure, accessible, and accurate data foundation. By implementing a robust governance framework, financial institutions can streamline KYC and AML processes, safely adopt AI technologies, and deliver the personalised experiences customers demand, turning data from a liability into a high-value asset. - [Unlocking the future of Financial Services: How AI is transforming the sector](https://agile.co.uk/ai-transforming-financial-services/): Like most sectors, Financial Services is anticipating (and already using) automation and AI tools to reduce manual work, improve productivity, and reduce costs. 75% of firms are already using AI, which is a dramatic increase on two years ago, when the figure was 58%. - [How one retailer protected its margins by we used accurately managing stock levels with machine learning](https://agile.co.uk/ai-used-for-stock-prediction-in-retail/): One international cosmetics retailer frequently misaligned stock levels with consumer demand, which was causing serious problems with revenue and margin. - [How one business used AI to make complex and technical documents accessible and usable for wider teams](https://agile.co.uk/using-ai-to-simplify-technical-documents/): However, the frequent requirement for SME input was an inefficient and expensive use of their time, so Agile designed an AI and Large Language Model to handle the process. Read the case study - [How we digitised 110 years’ worth of job cards for a national utilities business](https://agile.co.uk/agile-digitised-110-years-job-cards-utility/): A national utilities business only digitised its job cards in 2018. That meant 110 years of job cards were physical, analogue records. - [How one utilities business used AI to anticipate and prevent customer complaints](https://agile.co.uk/utilities-ai-complaint-prevention/): A utilities company knew that the recordings of their customer service calls contained absolutely invaluable insights into common complaints, customer behaviour, and typical issues in their network. However, their only way to analyse that information was a monthly audit of a random sample. - [Agile Solutions continues its commitment to serving the public sector with G-Cloud 14](https://agile.co.uk/g-cloud-14-agile-solutions-public-sector/): Following the success of Agile Solutions on G-Cloud 13, the Crown Commercial Service (CCS) has awarded Agile a Framework Contract for its successor, G-Cloud 14. - [How a professional services firm created a roadmap for their AI rollout](https://agile.co.uk/ai-rollout-roadmap-professional-services/): Almost all organisations realise that there is no ‘if’ about AI. It is not even ‘when’. It is ‘now’. - [You have your AI strategy — do you have the tools to make it happen?](https://agile.co.uk/ai-strategy-do-you-have-the-right-tools/): You are confident in your organisation’s AI Maturity, your overall business data quality is ready for AI, you have policies to help your AI usage remain safe, ethical, and compliant, and you have a framework and AI strategy. Now, you need to know that you have the means of executing your strategy and making AI a transformative success. - [What AI regulations apply to your organisation?](https://agile.co.uk/what-ai-regulations-apply-to-your-organisation/): One of the reasons that many businesses are holding back from creating and committing to AI strategies, is not just fear of getting it wrong, but fear of getting it wrong in a way that exposes the organisation to reputational and regulatory risks. - [Preparing for AI regulation: Do you really know what AI you are using, and how you are using it?](https://agile.co.uk/understanding-managing-ai-regulation/): The five pillars of AI ethics (fairness, contestability, accountability, transparency security) are not simply guidelines — they are written into international law. The EU has now introduced the Artificial Intelligence Act which imposes a legal responsibility on organisations to “take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf.” (Chapter 1, Article 4) - [Bias, inaccuracy, and compliance in AI: Why data quality will determine whether your artificial intelligence is safe and effective](https://agile.co.uk/ai-data-quality-and-bias/): To put it in very simple terms, AI is like a very enthusiastic learner. If you give it a piece of information, it will take that ‘knowledge’ and apply it over and over again. So, in the same way that you shouldn’t teach someone something false or misleading, you shouldn’t let AI learn from data that contains inaccuracies or biases, data quality is key. - [Master Data Management Roadmap](https://agile.co.uk/master-data-management-roadmap/): Download our Master Data Management roadmap now and discover the route to success. - [How a major energy transmission network achieved advanced analytics with disparate systems](https://agile.co.uk/how-a-major-energy-transmission-network-achieved-advanced-analytics-with-disparate-systems/): A UK energy transmission network was generating vast quantities of data, but because of data silos and the wide range of disparate systems capturing the information, they weren’t able to use their data to anything close to its full potential. - [How a major energy distributor used AI to cut the cost of Net Zero](https://agile.co.uk/how-a-major-energy-distributor-used-ai-to-cut-the-cost-of-net-zero/): The energy industry has the potential to be one of the most exciting and transformational sectors for AI, machine learning, and large language models. - [Data, compliance, and transformation: The biggest data challenges for AI in financial services](https://agile.co.uk/ai-data-challenges-in-financial-services-compliance/): Financial businesses will always want to base their decisions on accurate data, improve the customer experience, and successfully identify financial risks. That need has become much more pressing with the prospect of AI in financial services, which is something that many businesses are both wary and excited about. - [Unlock the Value of Your Business Data: Challenges, Strategies, and Benefits](https://agile.co.uk/the-commercial-results-of-unlocking-your-business-data/): Attendees shared the goal of better understanding business data, learning how best to protect it, maximise its value, and champion its importance and value in their organisations. That led to a fascinating discussion about commercial data, the relationship to data among stakeholders and the wider business, and the differing levels of data sophistication between sectors and individual businesses within them. - [Data Governance: The foundation of a data-driven business](https://agile.co.uk/data-governance-the-foundation-of-a-data-driven-business/): Are you in control of your business data? - [Unlock the Value of Your Business Data: A Guide to Data Strategy](https://agile.co.uk/business-data-strategy-how-to-manage-monetise-your-data/): There are so many technologies, processes and platforms that promise to maximise the commercial value of your business data, but in truth, it’s not that simple. Buying the latest technology won’t make you a data-driven business. A single Data Quality initiative won’t transform your data culture. A switch to the cloud won’t fix your challenges with data silos and accessibility. Advanced analytics won’t always put you ahead of your competitors. - [Unlock Efficiency, Transparency, and Customer Experience with Energy MDM](https://agile.co.uk/master-data-management-for-energy-renewables-how-to-improve-efficiency-transparency-and-customer-experience/): It’s a critical time for the Energy & Renewables sector. The heat is on to find new ways to improve efficiency, transparency, and customer experience – and data is your greatest asset as you explore these solutions. There’s certainly no shortage of it: the sector is generating more than ever before, with a combination of customer data, asset data, and aggregation creating a deluge of information. Plus, in 2025 the default frequency for smart meter readings will be every 30 minutes. - [Building a Business Case for Data Management in the Finance Sector](https://agile.co.uk/building-a-business-case-for-data-management-in-the-finance-sector/): If you want accurate, reliable data to fuel digital innovation in finance, you need effective Data Management – but building a business case for it isn’t always easy. Data Management not only streamlines operations but also enhances decision-making capabilities. By investing in the right systems and processes, organisations can unlock business data value and drive sustainable growth. Ultimately, a well-structured data strategy empowers teams to innovate and respond to market demands with agility. - [Financial Services: Is fragmented data holding back your decision-making?](https://agile.co.uk/financial-services-transformative-solutions-to-data-challenges/): If you are a heritage brand, there are nimble challengers hungry for market share, and customers will be willing to switch if their experience with you is sub par. ## Pages - [Agile Company Values](https://agile.co.uk/agile-company-values/): We use emotional intelligence, read the room and check understanding. We adapt our style, tone and detail to suit the audience and context. We avoid jargon and focus on what matters – we keep messages concise. We maintain a continuous feedback loop to ensure clarity and alignment. We understand a client or partner’s perspective, challenges and priorities before communicatingWe focus on delivering measurable value to clients by tracking impact, efficiency, and ROI (Return On Investment), ensuring outcomes are clear and evidenced. Early wins and tangible results keep clients informed and engaged, while value-led conversations and strong discovery guide priorities. We support each other through collaboration and act as trusted advisors by challenging assumptions. We optimise processes with automation and AI where sensible. We balance purpose with profitability, avoid distractions, and repurpose value to maximize impact while demonstrating the benefits delivered with data-backed evidence.We act lawfully, respectfully and ethically. We foster early, transparent communications even in difficult situations. We stand by commitments, deliver on promises and maintain confidentiality. We support each other, prioritise people and ensure we are set up to succeed. We are competent, reliable experts who provide quality work. We have the confidence and integrity to question, advise and propose better solutions.We believe that building strong foundations is critical for consistent, high-quality, and scalable success. We know that attention to detail, correct processes, and clear onboarding set us up for success, prevent technical debt, and avoid overpromising. Ensuring we have strong foundations enables safe innovation, agility and flexibility while maintaining integrity, accountability, transparency and trust. By getting the basics right, we can deliver quality work clients can be proud of as we move quickly and manage projects effectively.We take responsibility, learn from mistakes and follow through. We know who is accountable for what and communicate this. We recognise that fear limits growth and promote a ‘no blame’ culture to enable us to fail fast, learn and innovate. We encourage voices, ideas and accountability without blame. We are honest, raise issues early and focus on solutions. We celebrate success. - [Events](https://agile.co.uk/events/) - [Modernising Shelter’s data infrastructure](https://agile.co.uk/resources/case-studies/shelter/): Data is vital to helping charities improve, fundraise, communicate, and deliver services to their supporters. - [2 – Services](https://agile.co.uk/content-hub/services-2/): Global RetailFinancial servicesUtilitiesPublic sector - [The Data Edit](https://agile.co.uk/content-hub/the-data-edit-podcast/): The Data Edit is the podcast for data-forward thinkers. Designed for data specialists and leaders across all industries, this show explores the challenges and breakthrough innovations shaping today’s data landscape - and what lies ahead. - [Jet2’s Master Data Management journey](https://agile.co.uk/resources/case-studies/jet2-mdm-case-study/): Download now - [Your AI Handbook Your guide to safe and compliant AI](https://agile.co.uk/content-hub/your-ai-handbook-your-guide-to-safe-and-compliant-ai/): The opportunities that AI offers are transformational. Some organisations are urgently strategising for its arrival, and others know they have to, but do not know how. - [An Agile Solutions Guide to Customer MDM](https://agile.co.uk/resources/guides/customer-mdm-guide/): How well do you know your customer? - [The Agile approach to driving value from your data](https://agile.co.uk/resources/case-studies/the-agile-approach-to-driving-value-from-your-data/): Download now - [The power of Data Governance in Financial Services](https://agile.co.uk/the-power-of-data-governance-in-financial-services/): JTNDaGV5Zmxvdy13cmFwcGVyJTIwZmxvdy1pZCUzRCUyMlZIV3hBeU8zM0dIZlRTcEltRWdEJTIyJTIwZHluYW1pYy1oZWlnaHQlMjBzY3JvbGwtdXAtb24tbmF2aWdhdGlvbiUyMHN0eWxlLWNvbmZpZyUzRCUyNyU3QiUyMndpZHRoJTIyJTNBJTIwJTIyMTAwJTI1JTIyJTdEJTI3JTNFJTNDJTJGaGV5Zmxvdy13cmFwcGVyJTNF - [AI in Financial Services](https://agile.co.uk/ai-in-financial-services/): Every sector can be excited about AI, but in a sector as data-heavy and fast-moving as Financial Services, it could be particularly transformational - [Prevent AI Bias Understanding Data to Avoid Errors and Biases](https://agile.co.uk/content-hub/preventing-ai-bias-understanding-your-data-to-avoid-errors/): The priority of any AI model is to provide what it defines as the “correct” result. That definition comes directly from its training data. - [AI Maturity Quiz](https://agile.co.uk/content-hub/ai-maturity-quiz/): JTNDZGl2JTIwc3R5bGUlM0QlMjJoZWlnaHQlM0ElMjA1MHB4JTNCJTIyJTNFJTNDJTJGZGl2JTNFJTBBJTNDaGV5Zmxvdy13cmFwcGVyJTIwZmxvdy1pZCUzRCUyMmFnaWxlLWFpLW1hdHVyaXR5LXF1aWNrLXF1aXolMjIlMjBkeW5hbWljLWhlaWdodCUyMHN0eWxlLWNvbmZpZyUzRCUyNyU3QiUyMndpZHRoJTIyJTNBJTIwJTIyMTAwJTI1JTIyJTdEJTI3JTNFJTNDJTJGaGV5Zmxvdy13cmFwcGVyJTNFJTBB - [Artificial Intelligence Framework](https://agile.co.uk/monetise/artificial-intelligence-framework/) - [Financial Services Be the disruptor, not the disrupted](https://agile.co.uk/content-hub/financial-services-be-the-disruptor-not-the-disrupted/): In Financial Services, change has never been so rapid. Transformation has gone from luxury project to commercial necessity, and the rise of AI has businesses wondering not just how to seize the opportunity, but what the opportunity even is. At the foundation of any competitive financial services business is data — accurate, clean reliable, and accessible data. - [Know your customer: An Agile Solutions guide to customer MDM](https://agile.co.uk/content-hub/know-your-customer-an-agile-solutions-guide-to-customer-mdm/) - [Data Fabric](https://agile.co.uk/monetise/data-fabric/) - [Cloud Modernisation](https://agile.co.uk/manage/cloud-modernisation/) - [Know your passenger: A guide to Customer MDM](https://agile.co.uk/resources/guides/customer-master-data-management-in-aviation/): Customer Master Data Management (MDM), enables you to create a 360 view of your customers: discovering a ‘Golden Record’ that presents a single version of the truth and transforms the service you provide to your customers. Our guide talks you through the process of effective customer master data management in aviation, helping you to see the value of bringing your data together to form one, central view: and see your customers as real passengers, not just a series of bookings. - [Customer Master Data Management](https://agile.co.uk/modernise/customer-master-data-management/) - [How a UK Banking Group streamlined compliance with Master Data Management](https://agile.co.uk/resources/case-studies/streamlined-compliance-banking/): To comply with complex regulations, manage financial risks and reduce operating costs, one of the UK’s largest banking groups needed to achieve a reliable central view of its data. - [How One Renewable Energy Company Strengthened its Decision-making with Data](https://agile.co.uk/resources/case-studies/how-one-renewable-energy-company-strengthened-its-decision-making-with-data/): One of the world’s largest renewable energy companies needed a better way to manage multiple data sets and a faster, better way to analyse and compare data.
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