In this session, Melissa Pomeroy shares her experience implementing data analytics at St. Mary's Bank. After building a solution, they faced resistance from business areas. To make the insights relevant and specific, they re-engineered dashboards based on business needs. An example, a member branch analysis dashboard, revealed more transactions occurred digitally than in branches, indicating a need to engage members in digital channels and the fact that most are not millennials. Initially, the marketing department resisted the data analysis, but clear communication showcasing benefits led to effective targeting. Predictive Analytics, which automated a manual process, generated excitement and paved the way for more innovative retail team solutions, increasing demand for advanced intelligence and analytics capabilities.