“My best employees are leaving,” Daniel told me, “and I can’t seem to figure out why.”
A 5-Step Process to Get More Out of Your Organization’s Data
Many HR managers frequently encounter a conundrum in their organizations. Why are the best employees leaving the organization? Why are some employees more productive than others? How can employees become more creative? Often, the information that can help answer to these questions already exists within the company, but is hiding in plain sight. Although companies do a great deal of data collecting on their employees, most of them don’t do a great job at leveraging them for insights to answer these questions. If companies could improve their data practices at five important stages, they could become much more effective at solving some of the most pressing problems they are currently facing. These steps include improving data quality, linking different types of data, infusing the data with theory, and keeping track of outcomes. And ultimately, the best way to find out whether the analytical insights gained from data are accurate is to put them to the test, even if that involves trial and error.