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

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: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Making the Most of Mainframe Structured Data: Webinar Preview

Mainframes still provide the data and computational backbone of many financial institutions but some organisations are encountering challenges as they try to integrate them with newer architectures. Many are incompatible with cloud and server-based architectures as well as APIs. Work-arounds can be achieved but they require middleware that can be costly and time consuming to...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook – Third Edition

Need to know all the essentials about the regulations impacting data management? Welcome to the third edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today...