Continuous controls

Challenge

Issues with data quality and integrity can cause poor customer experiences. Holding rich, accurate customer information is a basic expectation and with this data coming from various sources, external and internal, indicators and monitoring of quality is key.

An incident exposed a lack of assurance within a UK bank of the quality and integrity of it’s customer data. In response, the bank looked to put in place a series of intelligent controls across its data feeds that provide preventative and detective measures in order to increase confidence as to the quality and integrity of the data and reduce risk.

My Role

I validate the problem, understanding that the audit was raised around a specific use case and the specific issue and so the need will differ across the banks key third parties.

I then set about defining those needs and corresponding solutions to form an MVP that showcased the intent for this project.

Articulate the vision and formulate a roadmap to deliver it. Considering the approach, resource required to build and test and wider operational impacts of the solution.

Manage a wide array of interested parties from third party relationship owners to architects, engineers and business analysts.

Outcomes

We went from concept to MVP in 2 months, producing a product roadmap for development. We conducted in-depth data analysis so we could define the problems which were clearly documented into a concise vision and problem statements that was used to get business buy-in and fuel needs discovery. Working with sensitive data we completed our due diligence and conducted a third-party data risk assessment.