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

Upcoming Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

17 June 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise...

BLOG

Getting Data Right is Crucial to Deriving Value From AI: DMI Webinar Review

Capital markets participants are struggling with data sourcing and cleansing as they deploy artificial intelligence to streamline operations, improve customer relations and add value to their services, according to the latest A-Team Group poll. In a survey survey of attendees at last week’s Data Management Insight webinar on data quality for AI it also emerged...

EVENT

ESG Data & Tech Briefing London

The ESG Data & Tech Briefing will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...