Aktana’s Machine Learning Method & Open Rate Results Published in PMSA Journal

Chief Science Officer Marc Cohen and the data science team at Aktana recently published their research in this area in The Journal of the Pharmaceutical Management Science Association, setting forth a successful machine learning approach for identifying message sequences that maximize open and click-through rates.

Actionable Analytics: A New Class Of Solution

Powerful analysis of abundant information is transforming the enterprise. Business Intelligence (“BI”) applications provide big data advantages to management teams. They can assess aggregated details to set future directions. BI usage includes micro-segmentation within marketplaces, and controlled experimentation with different strategies applied to different segments to find what works best. These are great endeavors to […]