The financial services company was very successful in its retail investor business but sees a worrying trend of declining investors in the horizon. The company desires to use targeted marketing to drive customer subscription but does not know how to start the process. Making matters worse is various data sources are in silos making analysis difficult and tedious to start.
KewMann helped to design a solution using Big Data Discovery as the foundation for advanced analytics. Using Big Data Discovery, different data sets are loaded into the solution “as-is” without upfront modeling while allowing quick data mashups to take place. After confirming the usefulness of different data sets, a single integrated view of the customer is developed which is then further processed in machine learning to derive micro segmentations to be used for targeted marketing.
Solution: Big Data Discovery, Machine Learning