Enterprise Data Warehouse

Over the course of the past few years, Enterprise-Data-Warehouse systems (EDW) have become an important element of modern decision-making systems. Their main benefit consists in bringing together data from different sources – not available in appropriate form for operational systems - and preparing them for analyses. Thanks to the use of an EDW system, the typical threats of heterogeneous data warehousing, i.e. losing track, increasing data redundancy, and long decision-making paths, can be avoided effectively.

Simultaneously, all relevant partial information from the most important data sources along the entire value-creation chain of your company are brought together, thus making decision-making on all company levels in a rapid and well-targeted manner possible. Information, e.g., on suppliers, products, production, stocks, partners, customers, staff, and sales are all combined holistically in a data warehouse system.

Source: SAP

Our approach

Concept and implementation
Thanks to our many years of experience with EDW projects, we are able to provide you with support throughout all phases of an EDW installation life cycle. CubeServ will plan and design with you, all steps – from a first initial rough concept to implementation, all the way to continuous business support and quality assurance. Our fist choice is SAP NetWeaver Business Warehouse, in combination with SAP BusinessObjects Data Services.

Support and advice
You already have a data warehouse system in use and require support or advice for your further data warehousing strategy or for a planned system upgrade? No problem! We will review you system, support continuous planning, carry out maintenance work, and develop a migration plan for your data warehousing platform together with you.

Performance check

The performance of a data warehouse installation is always critical: Together with you, we will carry out a performance check of your platform, based on best practice criteria, and recommend optimization measures.

Our offer

  • Analysis of the current situation and recommendations regarding data warehouse systems and concepts
  • Concept and implementation of a data warehouse system, including all life cycles
  • Advice regarding the architecture and setting up of a data warehouse
  • Installation and taking into operation of all necessary components
  • Operational support and maintenance
  • Quality assurance
  • Planning and implementation of migration scenarios
  • Performance review and optimization
  • Working out of governance checks and controls, introduction of best practice concepts, and development standards