Building a Future-Proof Data Foundation with Automated Migration to BigQuery

A large insurance company was facing significant roadblocks in leveraging data for critical insights. Their current infrastructure struggled to keep pace with the demands of new analytical and predictive models, hindering the timely delivery of valuable information. Additionally, a lack of integrated access to data on members, prospects, and their enrollment/claim history created major hurdles. This resulted in missed service level agreements (SLAs), impacting the productivity of both data scientists and business users. Furthermore, onboarding new data sources, such as those from IoT devices, proved to be a cumbersome and time-consuming process.