The first step is to analyze the company's requirements for the data model. It is important to involve all relevant stakeholders in the company, define goals and objectives for the catalog, and develop a coherent data strategy.
When selecting a suitable provider, it is important to obtain various offers and examine them with regard to the company-specific requirements. Some exemplary criteria are listed in step 2.
The goal of the proof-of-concept phase is to assess the suitability of the available data catalogs for the company-specific needs and goals. It is also important how the cooperation with the vendor works. The provider plays an important role in the subsequent implementation of the data catalog as well as in its operation, so the "chemistry" should be right.
In this phase, it is important to involve employees as early as possible and to increase acceptance of the data catalog with the help of "real" use cases. The stakeholders of the data catalog include the various business departments, IT, compliance teams, and also business intelligence teams. In the proof-of-concept phase, it is a good idea to organize hands-on workshops with the vendor to define and implement two or three common use cases.
To achieve a high degree of utilization within the company, the various data sources should be connected to the data catalog as early as possible. By establishing common definitions and technical terms, it is possible to establish a uniform "wording" and make the new tool known as a "single source of truth". At the same time, it is important to increase the visibility of the tool through transparent communication within the company.
During the introduction phase, it is important to get employees on board and achieve a high level of acceptance for the data catalog. It is advisable to carry out comprehensive training and to add further users to the data catalog step by step by means of an iterative procedure. By linking the data catalog to all relevant tools at an early stage, it is possible to ensure a high level of functionality right from the start. Based on the experience gained, the data catalog is then continuously adapted and improved (see proof-of-concept phase).
Even after implementation, it is important to constantly monitor how the data catalog is accepted by the workforce and what added value it brings.