A F500 Pharma company was facing a significant market event, and needed assistance in identifying which account targets were most likely to migrate, and recommend actions to preserve share in these accounts and recommend a refocus in personal promotion effort.
The historical data was brought into PowerBI Analytics tool, blended with the quantitative data to create Interactive visual dashboards showing Behavior-based clustering of current called-on accounts and the Placement of target accounts into risk segments. Over 24,000 location information was mapped with associated attributes for interactive visual analytics.
The predictive analytics done considered each Account’s purchasing behaviors over the most recently available 12 months of sales/purchasing data, and was combined with qualitative aspects of the Account’s behavior, based on select interviews. Over 4,000 accounts were ranked with a risk score calculated on several key metrics, and the accounts at most risk were identified and recommendations were made to protect market share.