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

Data Governance “Poorly Practised”

Subscribe to our newsletter

The concept of data governance is one much bandied about in EDM circles, especially as the notion of purely centralised data management morphs into a more pragmatic strategy of centralised control over distributed data stores. But, as is well documented in a new white paper written by Baseline Consulting and sponsored by master data management hub provider Siperian, putting data governance into practice is no mean feat.

As the author, Baseline partner Jill Dyche, writes: “The goal of data governance is to establish and maintain a corporate-wide agenda for data, one of joint decision making and collaboration for the good of the company. It’s a joint effort between the business and IT, and one that’s so far been at best misunderstood, and at worst poorly practised.”

There are several reasons for the failure of data governance, Dyche says, including relying on IT and business data managers to bring data governance to life. “These individuals… may… lack the organisational clout to influence development and participation in a business-sanctioned data governance undertaking.” Another is that data governance councils tend “to simply fade away”.
Baseline recommends a four step process to create a sustainable data governance framework. First, design the data governance, establishing guiding principles, decision rights and decision making bodies. Second, overcome organisational barriers. Third, enact and oversee. Refine goals and resources and communicate performance results. Four, deliver and measure benefits.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain a more meaningful view of risk and performance across all asset types held by...

BLOG

Clearwater Looking to Bridge Front-to-Back Office Tech Gaps with Acquisitions

It’s difficult for data and technology companies to fully service financial institutions’ front-to-back operations when behemoth providers are offering closely integrated capabilities at scale already. Clearwater Analytics, however, has a strategy that it believes will work not by necessarily competing with the big aggregators, but by working with them and filling gaps that they don’t...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...