Automating operations
on mission-critical data

Now is the time for financial services firms to establish a new data-centric operating model.

Operating models are evolving

Today, operations and IT leaders in financial services need to manage sometimes thousands of people manually plugging gaps in their data infrastructure. The problem is massive, expensive, error prone, and means getting a clear view of the right data at the right time is extremely challenging.

This report from capital markets consultancy GreySpark Partners looks at the scale of the problem, and how forward-thinking firms are moving towards a data-centric operating model, focused on upstream data quality rather than dealing with downstream exceptions.

They share their findings here, including insights into the data management technology strategy of a variety of large buy- and sell-side institutions.