Understanding data as an asset: In order to establish this common goal, a data excellence vision and mission are developed together with a core team and the client. From this, a data excellence strategy is derived, which is then operationalized in a program plan.

Strategic requirements management is used to control and prioritize data-relevant requirements in the business unit. It is generally complementary to the existing requirements management process. The application of the minimum principle ensures that data provisions and evaluations are not ordered more than once.

In order for data excellence to bring about a paradigm shift in the company, roles that bear responsibility for the data in the business units are introduced. Data stewards, data owners or subject matter experts are common profiles of a data governance organization.

From a governance perspective, it is necessary to define reporting principles for data uses based on standards and design principles to ensure the presented information is meaningful. Furthermore, a data usage catalog is created that includes metadata about reports, measures, and data provisions.

In almost every organization, day-to-day business depends to a very large extent on data. Accordingly, it is necessary to develop an enterprise-wide data risk management approach that includes, among other things, compliance with data protection requirements.

Data Excellence services comprise all services that the business unit can use within the scope of Data Excellence. A description of these services is available as a complete catalog to all stakeholders. The DX services range from available evaluation tools, data quality and reference data management to business and technical metadata management.