Welcome to our monthly newsletter - where we let you know what's been happening in the world of data, keep you in the loop with our latest blog releases, highlight our top news picks and share with you exclusive updates from the team at DAMA UK. 

October can be quite dramatic: leaves tumbling, wind and rain upping their game, or unexpected gorgeous, mild, sunny afternoons. Nothing is predictable, and it seems to be the case for the world of data too, where change seems to be always lurking around the corner.

This month, of course, features AI - it’s hard to ignore, but we also ask how data quality stacks up against business importance, and how model capability may not be the bottleneck you think it is.

As always, we have lots of upcoming diary dates as well as exciting news about our own new learning series for members, which launches in November.

Not a member? Why not? Members enjoy exclusive discounts, member-only events and webinars, and access to our ever-growing resource bank. Find out more here 👉https://www.dama-uk.org/pages/become-member

Oh and talking of the unexpected, Happy Halloween 👻

October Article - Data Management and AI: Building Clean Foundations 

Our monthly articles allow us to take a deeper dive into a topic or issue that’s being talked about.

In this latest article, we look at how AI-driven data management can improve everyday operations and build the strong foundations needed for scalable enterprise intelligence.

Explore what this means for the future of data management below.

Find out more...

Data Quality vs Business Importance

How organisations balance technical data quality against business importance appears to be a prominent conversation in data leadership right now. 

According to Jérôme Koller, examining this relationship surfaces several considerations:

🧠 It raises the point that quality depends on context. Data quality is rarely a single, static metric. Dimensions such as accuracy and completeness vary depending on the use case. Data that is suitable for high-level behavioural insights may not meet the standards required for financial reporting.
🧠 It suggests that importance is what guides investment. Attempting to clean every dataset across an organisation can be resource-intensive, so identifying business importance helps determine which quality dimensions really require attention, avoiding unnecessary remediation work on unused data.
🧠 It also indicates that strategy influences scope. So, rather than attempting to dismantle every data silo simultaneously, organisations frequently align their infrastructure priorities with overarching business goals to ensure capital is allocated effectively. 

Curious?
 

The role of synthetic data in analytics and AI development

Using synthetically generated data can be faster and more cost-effective than real enterprise data. However, there are concerns over bias and inaccuracies.”

No Jitter interviewed IDC Research Director Kathy Lange about the growing role of synthetic data in analytics and AI development. 

While synthetic data offers a cost-effective way to address data scarcity and privacy regulations, the discussion highlights that it functions best as a complementary resource rather than a complete replacement for real-world data.

💬 What was discussed: 

Read the interview
 

The most in-demand data product in your company is not a product at all.”
Dean Marti’s framing of the context layer is very good. 

As AI tools transition from simple Q&A tools into autonomous agents executing complex workflows, the challenge is not so much model capability any more - it is the quality, structure, and freshness of the underlying organisational context. 

Attempting to build a single knowledge warehouse to solve this will likely fail for the same reasons central data lakes struggled years ago. 👇

 Read more

 

 

DAMA UK 2026 Data Management Professional Awards

The DAMA UK Awards, presented in partnership with IRM UK at the Data & AI Conference Europe, celebrate exceptional individuals and teams in data management. 

Award Categories:

Individual DAMA UK Data Management Practitioner Award: Recognizes exceptional commitment, leadership, and innovation by a single data professional. 

Team DAMA UK Data Management Practitioner Award: Recognizes outstanding collaboration, achievement, and measurable business value delivered by a team. 

Data Management Story of the Year: Highlights impactful real-world data projects covering areas like data governance, quality, or master data management.

The winners will be announced live at the Data & AI Conference Europe in London on November 3, 2026 

Haven’t got your tickets yet? Book here: https://irmuk.co.uk/data-ai-conference-2026/ok

10% discount for DAMA Members


DAMA UK Members Learning Series

Learn together... Apply Now!

Launching in November 2026, the DAMA UK Learning Series brings data professionals together for live, 90-minute virtual workshops led by experienced trainers. 

Build practical skills you can use in your day job through activities, discussion, and topics from across the world of data. Attendees will receive a recording and useful takeaways to revisit afterwards. 

The first workshops will cover building your CV and personal brand, data stewardship, and semantic modelling—with more topics to come!

Only a handful of spaces left!

NOTE: These sessions are free for all DAMA UK members.

Not a member yet? Join DAMA UK to take part: https://dama.org/membership/join-dama-renew-membership/

IRM UK - DG - AI and MDM Conference

IRM UK is now welcoming speaker proposals for its Data Governance, AI Governance and Master Data Management Conferences Europe, taking place in London from 15–19 March 2027.

The events are a chance to hear from people working across the data and AI space, with a focus on practical experience, real-world challenges.

If you’ve got experience you’d like to share, whether that’s working on a project or tackling a tricky data-based challenge, it’s worth considering a speaker slot. You don’t need years of speaking experience to get involved!

IRM UK is looking for real-world case studies and honest lessons learned from people working across data and AI.

So, whether you’re an experienced speaker or thinking about presenting for the first time, it’s a great opportunity to share your experience and learn from others in the community.

📅 Dates: 15–19 March 2027
📍 Location: London, UK
⏰ Submission deadline: 30 October 2026
➡️ Find out more and submit your proposal, here

Curious about our other recent webinars?
 
Each of our webinars addresses a specific aspect of data management or the challenges and opportunities facing us data practitioners. They’re hugely popular and valuable, so if you didn’t catch them all, why not take a look at our fantastic archive with plenty for members and non-members here 👉 DAMA UK - Events.

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Sponsors & Partners

Finally, we would like to say a HUGE thank you to our brilliant sponsors & partners, who support DAMA UK on our mission to nurture a talented community of data professionals championing the value of data management across the UK.

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