About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

How to Transform Data Governance by Redefining and Reskilling the Organisation

Subscribe to our newsletter

By Dennis Slattery, CEO, EDMworks

Change is constant and unrelenting, and the causes are many and varied: challenger banks, fintech, regtech, cost pressure, cryptocurrencies, regulation and emerging technologies are just a few examples, with many more on the horizon.

Organisations have to deal with change, so how can they do this and what is the best approach?

All financial services companies have data at their heart. The approach to dealing with change has to ensure that curation and use of data is improved and the value of data to the organisation and its customers is increased over time.

Tactical approaches generally fail to increase the value of data to the wider enterprise. In fact, tactical approaches often diminish value by creating duplication, which in turn creates doubt and lack of trust in data. Trust is the foundation of any financial firm, so loss of trust is a serious matter.

Data is of systemic value to an organisation, requiring an approach to managing data in response to a series of internal and external changes to also be systemic. In EDMworks’ latest white paper, ‘Transform your Data Governance by Redefining and Reskilling the Organisation’, we explore the challenges facing organisations, share new insights into data, and describe how organisations need to adapt systemically, at all levels. In this way, managing data becomes part of the DNA of the company and an intrinsic part of its culture and processes.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Data Challenge in Private Credit Highlighted by FSB and Experts

The Financial Stability Board’s (FSB) call for better data provisions within private credit has highlighted a gnawing pain in the side of the rapidly growing market. The global watchdog, which was formed after the global financial crisis to help ensure another recession didn’t happen, partly blamed the lack of visibility into the loans and assets...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...