Using predictive analytics is challenging in any context because of the effort and expertise necessary to collect and analyze the data. But once you’ve identified your insights and checked your work, you face a new set of questions: Does the business understand this? Do they care? In this HCI Keynote video, Michael Cook of Credit Suisse explains his data-driven approach to understanding the root causes of attrition and shares best practices for communicating findings to business leaders.
- Using predictive analytics to categorize employees based on their “flight risk.”
- Creating manager scorecards to communicate projected attrition rates and identify high risk team members.
- Spurring managers and business leaders to take action using a simple formula for estimating the dollar cost of attrition.