Delta Capita, an independent consulting firm dedicated to the financial services industry, has launched its new Big Data-as-a-Service Platform, Delta>Data, offering clients a set of flexible solutions to both industry-wide and client-specific issues. Delta>Data can be deployed on the cloud or on premise depending on the individual circumstances

The platform allows users access to pre-built solutions, including AML, and also enables clients to quickly implement solutions specific to their individual requirements. The offering combines Big Data technology, which provides data scientists with access to libraries of Machine Learning algorithms, workflow, rules engine, and dashboarding, all pre-built and ready to rapidly configure to individual requirements.

The release of Delta>Data comes at a key time for the industry, as legacy systems inhibit a bank’s ability to understand and react to their data driven insights in a meaningful timeframe. Coupled with the over-utilisation of the incumbent IT departments, banks are struggling to tread water in keeping up with maintaining the legacy systems, which leaves limited resources to plan, execute and deliver new ground-breaking strategic projects.

Delta Capita has also launched Delta>AML, the first product using the platform as a response to the technical deficit and continuing issues other AML market solutions face. Delta>AML combines all the services that the platform offers with advanced machine learning and fast configuration to enable technically demanding clients to overcome their AML challenges.

“As financial fraud continues to evolve, fresh thinking is required,” said Adrian Soars, partner, data and analytics at Delta Capita. “Extending our Delta>Data platform to deliver a Next-Generation Big Data Analytics AML solution further proves the strength of our platform to solve complex data challenges.”

“Banks can now quickly deploy advanced data capabilities over legacy and siloed systems, allowing a bridge between current state and future state data solutions,” Soars added.  “Once this has been achieved, moving forward with the most advanced technology available becomes less challenging and allows more consideration to the end state architecture.”