DAMA UK’s cover photo
DAMA UK

DAMA UK

Information Services

Nurturing a community of data professionals in the UK

About us

DAMA is a global community of Data Management Professionals organised around local membership based chapters. The chapters are supported by DAMA-International who maintain the Data Management Body of Knowledge (DMBoK) and the Certified Data Management Professional (CDMP) certification. DAMA’s primary purpose is to promote the understanding, development and practice of managing data and information as key enterprise assets to support the organisation. DAMA UK is a local chapter, and our aim is to nurture a community of data professionals in the UK who champion the value of data management.

Industry
Information Services
Company size
2-10 employees
Headquarters
Bristol
Type
Nonprofit
Founded
2003
Specialties
Data Management and Professional Development

Locations

Employees at DAMA UK

Updates

  • 📢 Did you miss our latest open Webinar? Insights and Impact: Lessons from the National Resident Survey for Wales Presented by Suzanne Draper and Sam Sullivan from Data Cymru, this webinar shared more about the work of Data Cymru, as well as delved into the journey of developing and implementing the National Resident Survey for Wales. This project, the first of its kind in Wales, will provide invaluable data to inform public policy and enhance community well-being. Whether you are involved in designing surveys, analysing data, or implementing public policies, this session will provide valuable insights and practical guidance. Data Cymru is a not-for-profit organisation wholly owned by local government in Wales. We offer a range of specialist data, statistical and research services designed to help local councils, and the wider public sector, find and use data effectively. Catch up with this and all our past public webinars here 👉https://lnkd.in/eiDET2nX #data #datainsights #dataanalysis

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  • Corporate (or Enterprise) data modelling serves as a blueprint for managing data consistently. For example,  ensuring alignment with business goals, and supporting data governance, integration, and analytics.  It empowers organisations to organise and manage data efficiently. From optimising supply chains and ensuring regulatory compliance to enhancing customer experiences, it plays a crucial role in leveraging data for business success. This model typically includes entities (such as customers, products, and transactions), relationships, and data attributes, forming the foundation for databases, data warehouses, and enterprise systems. By standardising data structure and flow, a corporate data model serves to enhance interoperability, improve data quality, and support strategic decision-making.  Used particularly in regulated industries like finance and healthcare as well as retail, corporate data models help organisations maintain a single source of truth, streamline operations, and meet sector compliance. #datamodels #compliance #data

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  • Export control processes are only as strong as the data that supports them.  FTI Consulting highlights a crucial point: compliance failures, whilst initially might seem caused by regulatory missteps, are often rooted in poor data management. ☝️ Take vendor screening, for example. If your supplier data isn’t standardised across systems, you could miss a red flag on a restricted party list. Similarly, tracking the movement of goods and technical data requires precise record-keeping, yet many companies struggle with fragmented databases and inconsistent classification methods. As regulations evolve and enforcement ramps up—just look at the recent Boeing and RTX settlements—the cost of bad data is only rising. So how can data teams help? One key strategy is implementing a centralised data quality framework that ensures: ✅ Consistent classification – Establish clear, standardised naming conventions for products, suppliers, and technical data. ✅ Automated validation – Use AI-driven compliance checks to catch inconsistencies before they become risks. ✅ Audit-ready tracking – Maintain a single source of truth for export-related data, ensuring every change is logged and traceable. Data professionals play a crucial role in strengthening compliance. What’s worked well in your experience? https://lnkd.in/e_rf7wUS #compliance #dataprofessionals #datasecurity

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  • 🔊 Open Webinar: The Business Impact of a Data-Literate Workforce. Friday 28th March 12.30pm. With data literacy being a fundamental driver of cultural transformation, decision-making, operational efficiency, and innovation, having a data literate workforce has never been more important to leveraging AI, analytics, and emerging technologies. In this session, we’ll explore: The key benefits of Data Literacy – From fostering a confident, data-driven culture to reducing reliance on data teams and accelerating insights. We’ll hear real-world examples from NFU Mutual. Overcoming common barriers – Addressing fear of data, leadership buy-in, bridging technical and non-technical gaps, and managing time and resource constraints with scalable, persona-based learning strategies. Specifically we’ll be looking at: 💡The power of strategic collaboration  ✍️How to get started – Practical steps For those already on the journey, we’ll discuss how to measure and articulate ROI, ensuring that data literacy is seen as a revenue driver, not an expense. Let’s move beyond tool investments and empower the silent majority because being data-driven is about people, not just technology. This sounds like one not to miss! Click here to find out more and register 👉 https://lnkd.in/dqCcGES9 #dataliteracy #AI #analytics

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  • The myth of "100% data quality" is a classic one. It is not uncommon for teams to burn resources trying to reach an impossible standard when, in reality, fit-for-purpose data is often what matters more. Not every dataset needs to be flawless, but it does need to be reliable enough for the business decisions it supports. And Modern Data 101’s point about over-reliance on tools is unfortunately often true! Technology is powerful, but without clear ownership and a strong data culture, even the best tools won’t fix underlying quality issues. That’s why it's important to consider: People, process and purpose BEFORE platform. Another myth which often crops up: “Data quality is just an IT problem.” In reality, bad data affects every department! So, take this as your sign to work towards higher data quality, even if it's not perfect. Because data working for you on a functional level is so much more important than data being 100% or the sole responsibility of one department. 💯 #dataquality #dataissues #data

    View organization page for Modern Data 101

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    𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐌𝐲𝐭𝐡𝐬: 𝐖𝐡𝐲 97% 𝐨𝐟 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐅𝐚𝐥𝐥𝐬 𝐒𝐡𝐨𝐫𝐭? Though data remains a critical business success factor, only 3% of a company’s data quality scores are rated as acceptable as per a Harvard Business Review, meaning that 97% of data is below favorable. But why are orgs failing in their data quality mission despite continuous efforts to improve their data quality? This is often because organizations fall into the trap of data quality myths and misconceptions, chasing misguided data quality goals and unattainable targets that not only derail data-driven initiatives but also lead to a significant dip in overall project success rates. In this post, let's burst some of these Data Quality Myths that ruin the data-driven initiatives of orgs. 𝐖𝐞 𝐧𝐞𝐞𝐝 100% 𝐨𝐫 𝐚 𝐍𝐞𝐚𝐫 100% 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 As Ryan Duffy mentions in one of his posts, ‘You can’t get perfect in the way of good enough,’ striving for perfect data actually becomes a time-consuming trap. Achieving 100% data quality is nearly impossible, especially with large data volumes. Many professionals mistakenly aim to eliminate every duplicate, missing value, or inconsistency. Instead, they should treat data quality as an ongoing process, focusing on improving reliability and performance over time. 𝐀 𝐆𝐨𝐨𝐝 𝐓𝐨𝐨𝐥 𝐖𝐢𝐥𝐥 𝐄𝐧𝐬𝐮𝐫𝐞 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 Technology is always a strong enabler but not an omnipotent! Like a GPS that requires accurate input to guide you correctly, data tools are only as effective as the people using them. Over-reliance on tools can lead to complacency, causing critical human oversight to be missed. This risks perpetuating errors and undermining data quality initiatives. 𝐇𝐢𝐠𝐡-𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐃𝐚𝐭𝐚 𝐈𝐬 𝐀𝐥𝐰𝐚𝐲𝐬 𝐀𝐜𝐜𝐮𝐫𝐚𝐭𝐞 While thorough data cleaning is essential, it doesn’t guarantee accuracy. Data can become unreliable due to unexpected events or new information. Companies should continue using insights as a guide but must avoid relying on them as the sole decision-making driver. Diversifying sources and continuously validating data ensures more robust and adaptable strategies. 𝐃𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲, 𝐨𝐧𝐜𝐞 𝐚𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝 𝐢𝐬 𝐠𝐨𝐨𝐝 𝐭𝐨 𝐠𝐨 As George Firican mentions in one of his articles, data quality is not a one-time project. As data is dynamic, it is subject to constant changes, decay, and obsoleteness. Therefore data quality management needs to be a continual process with constant vigilance and frequent maintenance to ensure data relevance, reliability, and decision-making. So, where does your organization stand on these data quality myths? Share your thoughts and experiences in the comments—let’s navigate the complexities together!

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  • 🔊 Did you miss it? Our latest members only webinar - Data Architecture in the Enterprise Context Plenty of opportunity to learn from Akhtar as he discussed Data Architecture in the Enterprise Context. He shared his views on what Data Architecture entails (by way of purpose, artefacts/deliverables produced etc) and where within the Enterprise Architecture trajectory and continuum it plays an important part. Akhtar Uzzaman is an Enterprise Architect with specialisation in Data Architecture and the broader Information Management discipline. Over the last 20 years Akhtar has worked across the globe on multi million dollar IT and Data led transformation initiatives for Blue chip clients in multiple industry sectors - including Shell, BP, Saudi Aramco, Deutsche Bank, Travis Perkins, Maersk, EY, Deloitte and others - helping to deliver on data and reporting aspects of IT projects as well as build enterprise Data and Insights capabilities. If you’re not a member, our member-only webinars are just one of many great reasons why you should consider joining our community. Find out more about Individual and corporate membership here ➡️https://lnkd.in/dhajMyd You can catch up with this and all past webinars here 👉https://lnkd.in/eiDET2nX #datainsights #data #webinar

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  • Next on the conference list - Information & Cyber Leaders Summit 2025  Taking place on 19th March 2025 in London, IRM UK's Information & Cyber Security Leaders Summit is the essential event for senior executives and security leaders shaping strategic, board-level approaches to cybersecurity.  Today’s cybersecurity is as much about leadership as it is about technology. This exclusive, single-track summit unites CISOs, CIOs, and senior decision-makers and will explore key topics such as cyber risk management, fostering security-first cultures, engaging the board, and leading resilient security teams.  With keynote presentations, expert panels, and focused discussions, attendees will gain valuable practical insights on tackling complex security challenges—from compliance and risk communication to investing in cyber resilience and preparing for emerging threats.  Beyond the sessions, the summit offers invaluable networking opportunities, connecting security leaders with industry peers to share knowledge and best practices. This is a fantastic ‘everything under one roof’ opportunity and DAMA UK is delighted to announce a 10% discount for members. So find out more and book your ticket here ▶️https://lnkd.in/eW2FtnW6 #networking #datasecurity #datacompliance

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  • Could open data be the efficient answer to delays in access to data? Financial Times highlights a challenge that extends far beyond financial services: the struggle to access and share data efficiently. While the specific issue discussed here revolves around financial advisers facing delays in obtaining client information, the underlying problem of data accessibility and governance affects nearly EVERY industry. One of the core frustrations in the article is the inefficiency caused by restricted data access. Data professionals often face long delays, not because the data doesn’t exist, but because outdated processes and bureaucratic barriers slow everything down. Therefore, the issue isn’t the availability of data - it’s the lack of seamless access for the right people at the right time. 💡 Financial Time's proposed solution is greater adoption of open data. Open data, in this context, refers to a system where consumers can give permission for their data to be shared securely with businesses, eliminating the need for lengthy authorisation processes. This approach isn’t just useful in finance… 👉 Retailers could use open data to personalise shopping experiences without resorting to invasive tracking methods. 👉 Energy providers could allow customers to switch suppliers more easily if consumption data were standardised and accessible. 👉 In government services, applying for permits, benefits, or legal documents would be much simpler if agencies shared data rather than requiring citizens to submit the same information repeatedly. …And so on and so forth! Evidently, the potential efficiency gains from open data are vast, but only if industries adopt frameworks that balance accessibility with security. The LOA issue is just one example of how poor data accessibility and governance can create real world inefficiencies. Data professionals across all sectors should consider how they can remove friction in their own systems to limit the impact of issues like this. Read the article here: https://lnkd.in/eextndeC #opendata #data #dataprofessionals

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  • 📢 Open Webinar - Insights and Impact: Lessons from the National Resident Survey for Wales Presented by Suzanne Draper and Sam Sullivan from Data Cymru, this webinar will reveal more about the work of Data Cymru, as well as delve into the journey of developing and implementing the National Resident Survey for Wales. This project, the first of its kind in Wales, will provide invaluable data to inform public policy and enhance community well-being. Whether you are involved in designing surveys, analysing data, or implementing public policies, this session will provide valuable insights and practical guidance. Data Cymru is a not-for-profit organisation wholly owned by local government in Wales. We offer a range of specialist data, statistical and research services designed to help local councils, and the wider public sector, find and use data effectively. Click here to register 👉https://lnkd.in/eriC9VX2 #data #dataresearch #dataquality

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  • 🔊 Open Webinar Data literacy is now a fundamental driver of cultural transformation, decision-making, operational efficiency, and innovation. Without a data-literate workforce, organisations struggle to fully leverage AI, analytics, and emerging technologies. In this session, we’ll explore: The key benefits of Data Literacy – From fostering a confident, data-driven culture to reducing reliance on data teams and accelerating insights. We’ll hear real-world examples from NFU Mutual. Overcoming common barriers – Addressing fear of data, leadership buy-in, bridging technical and non-technical gaps, and managing time and resource constraints with scalable, persona-based learning strategies. Specifically we’ll be looking at: 💡The power of strategic collaboration ✍️How to get started – Practical steps For those already on the journey, we’ll discuss how to measure and articulate ROI, ensuring that data literacy is seen as a revenue driver, not an expense. Let’s move beyond tool investments and empower the silent majority because being data-driven is about people, not just technology. This sounds like one not to miss! Click here to find out more and register 👉 https://lnkd.in/dqCcGES9 #dataliteracy #data #datagovernance

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