Data Management for Insurance: Best Practice and Solutions
Effective data management includes broad technology tools that are focused on optimizing data collection, quality control, processing, and analytics. Data management includes considerations for incoming data streams and datasets to end usage and analytical insights. The process for data discovery, obtaining raw data and processing requires access approval and tools. Insurers are looking to build a strong data management standard that will provide the usable data resources for the applications of analytics and AI/ML. We will provide an overview of the trends observed from technology providers (non-exhaustive), and identify the modules developed for a standard data management process solutions.