To be data driven and act data driven. The customer wants a change to harden the processes, people and skills for the upcoming demands of data analysis, be predictive and be prescriptive.

Consolidation in the data area. The change from Oracle DWH to MS SSAS as a change in the market/data area requires sensitivity.

Compensation of errors in signaling data by making the relevance evaluable with alterative measurement (Google waiting times). The approach to realize a data acquisition for Common Data /Frequent Data usage with simple means was born from the necessity of data acquisition.