Implementation support by valantic
When critical data flows in from multiple sources and in varying formats, this can quickly lead to confusion and chaos. A sustainable meta data and data quality management system brings order to this data, ensuring that it is readily available on demand.
Challenge
The customer, a development company, has to handle a large volume of data for the inspection of systems installed in vehicles. This data needs to be made easily accessible and manageable.
Consulting approach
valantic supported the company in implementing a sustainable meta data and data quality management system.
Client benefits and solution
After the ramp-up and an assessment of the current data management practices, valantic developed a roadmap for establishing a sustainable meta data and data quality management system.
The Challenge in Detail:
The client is a development company focused on creating specifications and testing procedures for the inspection of safety- and environment-related components and systems installed in vehicles. It specializes in Car2Car communication, eCall, and autonomous driving.
For these topics, the clients wanted to establish an adequate meta data and data quality management system. As the data is delivered in various formats and from different sources, the more precise and structured the data is, the better the data management will be.
Consulting Approach:
valantic supported and guided the development company in establishing its meta data and data quality management system. The following steps were carried out:
Solution and Client Benefits:
Based on the results of the above-mentioned steps, valantic created a roadmap paving the way for the implementation of a clearly structured meta data and data quality management system that can be utilized for many years to come.
Laurenz Kirchner
Partner & Managing Director
Division Digital Analytics & Strategy