Data & AI Governance for Banking
We started Prodago years ago on the premise that the way we all did Data Governance was too fragmented to make it genuinely operational. And we all know that if banks fail to take it there, it will remain something that never really lived up to its promise—the promise to maximize the value of data assets.
We did it.
The approach is simple. It focuses on the active management of processes rather than the data. It is this approach, based on operating practices, which can tie all of it together.
As we try to govern data privacy or data quality, hundreds of operating practices come into play; coming up with these is what organizations do when they hire external Data Governance expert consultants. Well, that is who we are, so we did the work of documenting and curating over 1,300 operating practices, all mapped to various privacy regulations, trust topics, and data risks. These are now available as Accelerators to our clients.
Admittedly, having operating practices is not enough. Any organization wanting to operationalize Data Governance must first assess where they are and where they need to be. They need a roadmap to get there and a system to track their progress and whether they execute well. That is real, operational Data Governance. The Prodago Platform fulfills that role.
Enterprise A.I. Governance
Information Innovation and Governance