The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

How to Get Your Data Management Ducks in a Row to Deliver Rapid, High Quality Analytics and Surveillance

Is your organisation looking to achieve market-beating analytics and exceptional market surveillance that will surpass regulatory compliance to deliver new business opportunities? If this is the case, look no further than A-Team Group’s next webinar that will discuss how to build a robust data management discipline to drive efficient and effective analytics and market surveillance.

The challenges are many and well known, and include keeping up with exponential growth in datasets, working with legacy systems, building new ones, moving to the cloud and, most important of all, achieving a level of data quality, completeness, timeliness and accuracy that will give decision makers and other stakeholders confidence in the data and the apps it feeds.

James Corcoran, CTO of enterprise solutions at Kx, and a speaker on the webinar, highlights the importance of a robust data management system to resolve these challenges, but also the need for multiple technology tools to create a system that can cover the gamut from data acquisition, capture and control to data streaming, analytics and visualisation.

He says: “The trick is to pick the collection of tools you need and standardise as much of your data management infrastructure as possible. A component-based, tightly integrated architecture that is loosely coupled means you can swap components when necessary.”

With a robust data management system in place, data streaming becomes feasible and meaningful. “Data streaming is critical to making rapid decisions and automating workflows,” says Corcoran. “It’s been used in the front office for many years. Now we need to take best of breed streaming into a new environment so that decisions can be made in the moment from the front office to the back office.”

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