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

A-Team Insight Blogs

EDM is Still Relevant But DDM is Rising in Importance, Say RDR Readers

Subscribe to our newsletter

Enterprise data management (EDM) is still a relevant concept to the financial market, according to Reference Data Review’s April reader poll. However, distributed data management (DDM) is rising in importance, likely as a result of the downward pressure on costs caused by the tough economic climate and the growth of electronic trading.

According to 56% of the respondents to our reader poll, centralised data management or EDM is still top of the list for data management projects. But for 44% of respondents, distributed data models are the way forward. Last year, analyst firm Aite Group produced a report that claimed DDM was the next big thing for data management and it seems that a significant proportion of Reference Data Review readers agree. DDM extends out of the technology associated with electronic trading such as in-memory data caches, complex event processing engines, data fabrics and grid computing. The ethos behind a distributed data architecture is the creation of multiple sets of ‘truth’ where each version is unique to the subscriber and their needs. “You don’t need to house the data universe in a single instance. You can break out by geography, product type, data type, however you want to manage ‘truth’,” explained Adam Honoré, senior analyst with Aite Group and author of the report, on its release. Aite Group claimed that EDM was rarely realised in large firms due to flaws in the execution of such centralised data models. It accused such models of contributing to latency, creating a single point of failure, experiencing significant integration pain, and requiring like data be used on disparate systems. EDM projects have also frequently been criticised for involving high costs and lengthy implementation times. In an environment such as today’s, where sign off for projects is predicated on them being able to be completed within short timeframes and where budgets have been slashed to the bare minimum, EDM may be suffering due to this negative view within senior management. Although risk management and regulation have both raised the profile of data management within institutions, it could be that DDM is becoming the more attractive proposition due to its perception as a more targeted and faster approach to data management.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

When Silence is the Best Measure of Success: ROI of Data Trust Webinar Review

When data observability and remediation tools work, the only measure of success is silence – nothing happens, no data breaks, no anomalies, no dramas. It might seem hard to demonstrate the success of something when there is nothing to show, especially when the business is required to prove the value of the process to secure...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...