Working with enterprise clients, specifically in the financial services and insurance industry, there is an affinity to leverage new-age analytics, BI, AI and Machine Learning technologies for the betterment of their business.
Specifically, these tools are great at helping achieve priority business objectives, including compliance reports (such as NCUA reporting requirements), Fraud, Customer 360, and Marketing Optimization. Either way, the goal is to use the data, and these tools, to help prepare a better member experience.
However, there is a need to get enterprise data clean, standardized, and in a reusable format to feed these technologies. This is what ‘Data-as-a-Service’ is all about; creating a platform and an environment where organizations can get data in a self-service reusable state to feed any use case.