A-Team Group’s London Data Management Summit rolls into town next Thursday with a fine line-up of speakers and a showcase presenting fintech innovators that could help firms create business value from their data.
Ahead of the event, we caught up with Rupert Brown, chief technology officer at The Cyber Consultants, to discuss his views on data management problems and how they can be solved with fintech solutions.
Q: What data management problems do financial institutions have that you believe you can solve?
A: We believe we solve the problem of direct traceability from regulations and standards to the evidence that proves compliance in a standardised way even for principles-based regulations, such as General Data Protection Regulation (GDPR), BCBS 239 and the Senior Managers & Certification Regime (SMCR), where there is no standard reporting specification.
Q: Why do firms have this problem?
A: There are 2 reasons: first, until now there has been no standardised way of reporting against principles-based regulations – this is our core IP; second, responses have been typically constructed as ‘fairy stories’ made out of randomly structured ad hoc spreadsheets.
Q: How do you solve the problem?
A: We build dynamic semantically, rigorous models of arguments in pictorial form supported by a set of verification and analysis algorithms that guide users on what they need to do next and the potential areas of risk.
Q: What technology do you use?
A: We use a mixture of COTS graphical design tools and enterprise No SQL data management technologies. We can also partner with most of the new wave of GDPR driven enterprise content analysis toolsets.
Q: How do you fit into a financial institution’s architecture and data flows?
A: Typically, we connect our platform to any/all of a financial institution’s (and other sectors) information/management processing platforms wherever relevant evidence is deemed to exist to support our compliance argument models.
Q: Which emerging technologies do you see as having the most potential to improve data management and why?
A: We have still to see the proper fusion of software defined networking and data management toolsets. When you think about it, all intra and inter-company dataflows occur across a network and therefore management techniques must be derived from understanding, monitoring and controlling those flows, which does not happen today.