Analytics & Statistics

Analytics & Statistics2020-07-11T09:42:53+02:00

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)!

What distinguishes “wise innovators” when analyzing company and personal data?

By |November 5th, 2020|Categories: Business Model, Competence Management, Culture of Innovation, Organizational Development, Workforce Analytics|Tags: , , |

The past few months have not made the spread or [...]

How can strategy execution succeed? (Part 2/2)

By |October 8th, 2020|Categories: Business Model, Competence Management, Organizational Development, Reporting, Strategic Workforce Planning, Strategy Execution, Workforce Analytics|Tags: , , , |

In the last few months I have taken Daniela Kudernatsch’s [...]

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