Organizations have a wealth of data at their disposal: financial data, customer data, transaction data, process data, personnel data, etc. – some are structured, some are unstructured.
With regard to personal data, DIN ISO 30414 forms an important basis for gaining transparency about the workforce along uniform definitions and metrics, possibly in conjunction with benchmarks.
By means of several degrees of maturity, a so-called “analytics continuum” emerges: from observation (descriptive), via signaling (proactive, anticipatory), to action (prescriptive, cognitive)!
People Analytics Case Studies 2016
Earlier this year David Green published [...]
People Analytics: Statistical Basics
Gordon Silvera, a recognized Data & Analytics Strategist from New [...]
People Analytics at Monster
On May 12, 2016 Jean Paul Isson published an interesting [...]