Data Warehousing
An integrated and consolidated database should be the key foundation for business decisions. It is the basis for reporting, analyses of ad hoc issues or analyses associated with data mining.The success factors of data warehousing address integration, governance, control of complexity and agility. Companies are facing challenges from data volumes that are rising at breakneck speed, heterogeneous source systems, department-specific perspectives, or solutions that have grown expensive to operate. At the same time, users’ expectations with regard to data currency, analysis speed and cost efficiency are increasing.
In addition to customer orientation, drivers such as "big data", "advanced analytics" or "operational BI" are setting new standards for integration performance and monitoring capabilities. These tasks pose difficult issues and conflicting goals that need to be resolved.
In the field of data warehousing, we provide you with support in the following areas:
- Data modelling for the integration layer in the data warehouse or historical approaches for analytical purposes
- Design and implementation of ETL routes
- "Golden Source" definition and source system analysis
- Data quality and governance in the data warehouse
- Application review for data warehouse
- Evaluation of data models
Consultants at Callista Group have many years of experience in this complex environment. We are accustomed to acting as the liaison between IT and other departments and speaking with both sides.
Contact:
Dr. Markus Ehrenmann - Associate Partner
ehrenmann@callista-group.com