Optimization of the SAP Analytics and BW Landscape

01

Initial Situation

Optimization of the existing BW landscape and integration of modern SAP analytics tools
Increase in reporting speed by at least 30%
Introduction of interactive dashboards for more than 200 business users
Reduction of redundant data models by 20%

02

Conducting 6 requirements workshops with key users from departments such as controlling, sales, and production
Analysis and cleansing of 1.2 TB of historical data to improve performance
Development of 15 new high-performance and scalable data models
Introduction of SAP Analytics Cloud for self-service dashboards
Design of 25 interactive visualizations for KPIs and operational metrics
Integration of SAP Analysis for Office for ad hoc analysis in business departments
Optimization of existing BW queries with an average runtime improvement of 35%

03

Reporting runtimes reduced by 38% and data freshness achieved close to real time
Business units can independently perform analyses using self-service functions
Reduction of maintenance effort through 22% fewer redundant objects
Improved decision-making through appealing and easy-to-understand dashboards
High user acceptance due to user-friendly interfaces and intuitive operation