The Prediction of Logistics Resource Needs Based on Smart Data AnalyticsHari Seldon Stage
The application of Smart Data Analytics to about nine years of daily order entries will be explained. The goal of an improved prediction of the resource needs in the logistics operations (e.g. staff) will be shown and the analytics used will be presented as well as the business context. In addition the Smart Data Solution Center BW and how it supports industrial users new to the Data Analytics will be introduced.
Cédric Villani, Mathematician - member of the Academy of Sciences - 1st vice-president of the Parliamentary Office For Scientific and Technological Assessment (OPECST) – Member of Parliament Fields Medal,