Newsletter - February 2025

Gaining Support for Data Quality Initiatives

Getting approval for data quality projects is often harder than it should be. 

As Piotr Czarnas has pointed out, projects only move forward when there’s a clear problem, a solution, and tangible benefits. But data quality issues often fly under the radar until they cause real damage, and by then, it’s reactive rather than proactive.

The problem is that poor data quality doesn’t always present itself as a headline issue. 

🤫 It shows up quietly: 

- In delayed reports

- In missed opportunities

- In teams spending hours fixing data errors that shouldn’t exist in the first place. 

These hidden costs can add up, yet they’re rarely seen as justification for action.

To gain support for data quality initiatives, it can help to shift the conversation. 

Find out More

Data Mismanagement can be Fatal!

What are the operational risks of data mismanagement?

Potentially fatal…

Every business recognises the need to collect and use data but when mismanaged the consequences can be very damaging. Pressure of time, or more often simply data overload, can result in unintentionally letting quality and integrity slip, failing to align it with regulatory compliance or producing business insights based on completely inaccurate information. 

From focusing on key metrics to leveraging powerful visualisation tools, our latest article provides invaluable tips to regain control and help your business turn data from a burden into a strategic asset.

Curious?

AI Governance & Data Governance: A Win-Win Partnership? - Nigel Turner

Earlier this year, Nigel joined a panel in Manchester to discuss AI governance, increasingly a key topic in data management. The session explored how AI should be regulated by both organisations and governments to ensure it benefits society. A major focus was the connection between AI and data governance, examining how the two should align to create effective oversight and ethical use of AI technologies.

One question centred on whether AI governance and Data Governance were totally different disciplines or had similarities and so overlapped in any way - following an initial consensus, this ultimately split the panel with AI often hitting the headlines for all the wrong reasons.

It begged the question:

How do you ensure AI and data are… 

Read On

Are Data Warehouses Dead?

“Sure, the technology has evolved a lot… But the fundamental need to integrate, standardise, and deliver trustworthy data to business users? That's not going anywhere.”

Pasi Jalonen takes a strong stance against the idea that data warehouses are obsolete, arguing that while technology evolves, the core principles of data integration and governance remain essential.

The "data warehouse is dead" claim has been circulating for years, usually driven by vendors pushing new solutions. But the need for structured, well-governed data has far from disappeared.

If anything, its importance has intensified with AI and big data!

Find out More

In person Northern Event - June

DAMA UK is hosting one of those rare and precious in-person events. 

In fact, due to the desire of us data folk to actually get together we will be holding 2 sessions in Leeds on June 11th 2025.

Why are you telling us now you may ask?! It’s because these events are highly popular; with the prospect of like minded professionals, networking opportunities, and lively discussion seemingly quite a draw. And, spaces are limited.

The fine details will remain a mystery for now, to be revealed soon but be sure to secure your place NOW to avoid missing out.

Session 1: 11th June 10.00 - 15.45

Session 2: 11th June 15.45 - 17.30 

Location: Flutter UK&Ireland 4 Wellington Pl, Leeds LS1 4AP

Register now 👉DAMA UK - DAMA UK - Northern Event (In person)

Exploring the synergy between master data management (MDM) and AI.

Like it or not, AI is here to stay, demanding data governance which is more rigorous than ever.

In this webinar, @Jesper Grode of Stibo Systems will explore the powerful synergy between master data management (MDM) and AI. As AI technology continues to evolve, the need for well-governed data to drive enterprise-wide AI initiatives has never been more critical. At the same time, achieving effective data governance at the scale required for business success now hinges on the integration of AI into both solutions and processes. 

By the end of this session, Jesper aims to equip you with up-to date insights into how MDM and AI intersect; demonstrating how AI can optimize MDM processes to deliver outstanding business outcomes and showing the vital role high-quality master data plays in driving AI success—along with the potential pitfalls of poor data quality.

Data Quality is dependent on Data Governance!

Like it or not, AI is here to stay, demanding data governance which is more rigorous than ever.

In this webinar, @Jesper Grode of Stibo Systems will explore the powerful synergy between master data management (MDM) and AI. As AI technology continues to evolve, the need for well-governed data to drive enterprise-wide AI initiatives has never been more critical. At the same time, achieving effective data governance at the scale required for business success now hinges on the integration of AI into both solutions and processes. 

By the end of this session, Jesper aims to equip you with up-to date insights into how MDM and AI intersect; demonstrating how AI can optimize MDM processes to deliver outstanding business outcomes and showing the vital role high-quality master data plays in driving AI success—along with the potential pitfalls of poor data quality.

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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 👉 here