Business Analytics

For business analytics, the dimensions of technology, data and people/users must be optimally combined. 

The technologies in SAP's analytics environment are broadly diversified and there are often major differences between the actual and target state.

Data is often confusing and difficult to connect, which makes decision-making more difficult. 

There is a lack of the necessary expertise to effectively use and further develop analysis tools. 

The suboptimal use of current landscapes reduces the quality of reports and it is not possible to expand into future analyses. 

As-is analysis and process modeling

Creation of a target state (architectural landscape) 

Design of a data landscape architecture with identification of the key data lakes

Development of a roadmap for the productive introduction (incl. cost estimate) 

Training for key users and power users (according to T&M if required) 

As-is picture of the current landscape 

Clear path for the next steps towards the optimal analytics landscape 

Data transparency and finding additional analytics sources 

Business benefits through analysis tools 

Know-how development of internal key and power users