Data Quality Challenge Case Study METRO Group and Nestlé

This case study is based on the GS1 Data Quality Challenge that was taken up by two organizations, METRP Group and Nestle in order to recognize key areas inside their association that could be enhanced through the execution of data quality beliefs from the GS1 Data Quality Framework. The Data Quality Challenge mentioned in the paper is build upon the GS1 Data Quality Framework's self-assessment procedure that allows the organizations to evaluate their internal data management processes. This test also discloses a range of opportunities that could be used by the organizations to develop and increase their data management and data quality. With the help of Data Quality Challenge, both organizations have strengthened a common group effort platform. This paper mentions the detection and prioritizing of fourteen possible promising improvements. The METRO Group and Nestle planned to share information and experiences efficiently that worked on controlling and improving the quality of value chain. The companies also worked together to pay attention to details to deliver value to consumers and shoppers. The pre-conditions required for the self-assessment are high-level management attention and sponsorship, good support within the company, open group effort between the trading partners, and a data synchronization process being deployed internally. The paper states that the data integrity can be maintained by correct application of data received to the retailer's internal operational systems that helps in achieving true end-to-end integration.