Presciient founder Dr Eugene Dubossarsky recently spoke to Data Science Sydney on how to use data and analytics in strategic decision-making.
Data, analytics methods and metrics are in short supply when it comes to the most important decisions facing an organisation, and senior executive engagement with analytics remains tentative as a result. But what if there was an unambiguous KPI for measuring decision making effectiveness? And what if this method also led to reliably, measurably better decision making? And that identification of good decisions makers (potential or actual) was a side benefit of this method?
Find out more in the full presentation: