They profile and monitor at best, and they can leave serious gaps in your data testing coverage. In the business-critical areas of AML and KYC vigilance, this can leave financial firms well short of the rigorous testing required for compliance.
Curtis O'Dell will introduce an automation solution that can be integrated with your DevOps and DataOps CI/CD processes that provides a solution to this challenge.
Curtis is the business product management manager for Tricentis' Data Integrity offering: a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left bytraditional data management tools and is designed to handle structured and unstructured data from any source. You will hear how you can use a unique automation technology to reach up to 90% test coverage rates and deliver trustworthy analytical and operational data at scale.
Your data is always on the move through increasingly complex and heterogeneous IT landscapes, and that trend is set to continue as new data sources and tools come online. As data flows through varied business processes, it is transformed, consolidated, and manipulated. So, how do you ensure that your data arrives trustworthy and fit for purpose wherever it’s heading?
Using several real-world use cases from major banks, insurance, and wealth management firms, Curtis will take you step by step through the solution.
Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
Automation with integration to DevOps and DataOps’ CI/CD processes are key to solving this.
How this approach has impact in the banking and finance vertical