Lockstep Consulting - The Key Role of the Data Provider

This episode and the following description originally come from Lockstep Consulting's Making Data Better podcast.
 
A key actor in risk assessment is the data provider. These commercial operations aggregate and analyze the data produced by governments, enterprises, individuals, and even other data providers. All to feed today’s insatiable appetite for understanding who it is we are dealing with online.

In this Making Data Better episode, Steve and George are joined by Cindy Printer, Director, Financial Crime Compliance and Payments, at LexisNexis Risk Solutions. The company is a major data provider to government and enterprise; Cindy focuses her work on financial services firms and their need for regulatory compliance.

We discuss the granular nature of the data LexisNexis Risk Solutions offers its customers and the breadth of sources used to meet their needs. It’s astonishing.

Cindy makes the point, one we heartily agree with at Lockstep, that risk is specific, a concern for each individual entity and that the data required by each entity varies based upon its specific concerns. And that’s why LexisNexis Risk Solutions tunes the data services it provides to the industry segment and individual firm.

Sitting on top of such vast data resources and knowing the complications associated with deriving meaning from it all, LexisNexis Risk Solutions also provides analytical services that saves an enterprise from having to analyze the data itself.

This is a great conversation if you want to understand the data provider role, the scale of its operations, and its priorities. So take a listen.

DISCLAIMER: The information provided in this podcast is for informational purposes only and is not intended to and shall not be used as legal advice.  The views and opinions expressed in this podcast are solely those of the speakers and do not necessarily reflect the views or positions of LexisNexis Risk Solutions. LexisNexis Risk Solutions does not warrant that the information provided in this podcast is accurate or error-free.