Transforms Regulatory Testing from Reactive to Real-Time with Trifacta
Saved annually on resources
Saved on regulatory quality assurance (QA) processes
Reduced test Development from 1700 hours to 1 hour
One of the main objectives of the Enterprise Testing Team at Bank of America is ensuring that all regulators are notified of any applicable transactions. Given that there are millions of transactions happening every minute at BoA, manually preparing and cleansing this data for QA was an extremely slow process. It wasn’t until up to two months after the transaction had occurred that the team could be assured that the appropriate regulators had been notified. This delayed response left BoA susceptible to costly regulatory fines should anything in the system fail and require correcting.
How Trifacta Solved this Problem
BoA built an automated data ecosystem that included Trifacta for data engineering and a combination of Tableau, Qlik, and MicroStrategy for visual analytics. This data stack created a streamlined workflow that alerts BoA in real time should they need to take corrective action on any regulatory measures. Automated recipes developed in Trifacta wrangle data from a variety of sources on command, which are then determined to “pass” or “fail” certain regulatory standards and, later, are made visible in a regulatory monitoring dashboard. The team can easily share these Trifacta recipes for regulatory transparency or make quick modifications, if necessary.
Faster Regulatory QA
The regulatory quality assurance process has been transformed from reactive to proactive—no longer is the team waiting one to two months for results, but instead can address issues as they occur.
Automated, real-time data preparation improves the quality of data and ensures that BoA can mitigate risk by correcting any (potentially) costly mistakes.
As banking regulations became stricter and more complex, BoA can easily scale its workflows to meet new demands. Automation allows for exponential growth.
Bank of America provides people, companies and institutional investors the financial products and services they need to help achieve their financial goals at every stage of their lives.
“Our automation engine is driven by data. We needed a platform that was capable of connecting to our large volume of data, with real-time or near real-time wrangling and, most of all, that has a simple UI that our existing knowledge workers who have the domain knowledge could be trained to use.”
Raj AnandSr. Vice President, Automation Global Risk, Bank of America