The 2014 Retail Equation: Big Data + Talent Analytics = Retention + Performance
To gain a competitive advantage through your workforce, you need a strategy to better align your people and processes, and identify the future employees that will add to your greatest asset — your talent pool.
Talent science, which uses predictive analytics to combine a candidate's behavioral traits and historical performance metrics supported by big data, can help retailers to define success connected to specific key performance indicators (KPIs). To start, a single online assessment is used to identify key attributes for success within the incumbent population, and that ideal set of characteristics is used to rank potential job candidates. Store managers can then focus interview and hiring efforts on the top-ranked candidates who are most likely to match or exceed the success levels of existing staff.