In many companies, HR departments continue to lag behind other functions when it comes to using data in ways that'll maximize engagement and retention rates. Some companies are not doing anything, most are mired in basic operational reporting, and only a small amount is actually practicing advanced or predictive analytics.
In this HRchat, we consider why the best HRpractices are based on cold, hard data and how HR pros can better leverage analytics to make informed decisions.
Our returning guest is Matthew Hamilton, Head of HR Strategy and People Analytics at Protective Life.
Interview Questions Include:
- Why is it important for HR to have data-driven and analytical skills? Can you give examples of how people analytics can help or enhance HR?
- Do you find that the HR community is still hesitant to base the assessment of employee performance on cold, hard data? If so, why?
- As Head of HR Strategy and People Analytics at Protective Life, what are the most important metrics you look at when assessing employee and team performance? Have the metrics changed during the pandemic?
- Can you share any best practices for using data to better listen to and support employees during this new normal? And what are the best ways/approach to measure the engagement of new hires to max retention rates? Where does a data specialist come in to prevent attrition?
- Can you share some of your predictions for the evolution of people analytics over the next 12-24 months?
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