We are happy to announce the three finalists of the CDQ Good Practice Award 2023: Deutsche Bahn AG, Huawei Technologies Co., Ltd. and Tetra Pak Group. The finalists will present their good practices to the CC CDQ community during the next workshop on November 29, 2023, in Amsterdam:
- Deutsch Bahn: Data 2 Value – Pioneering Data Excellence for Strong Railways
- Huawei: Construction of a Data Foundation Aiming at Connection and Sharing
- Tetra Pak: Power to the people: bring data excellence to 150 countries and scale business value in 18 months
The winner will be announced during the 2023 CDQ Good Practice Award ceremony on the evening of the same day.
Thank you to all participants for their excellent contributions and their time and effort spent for preparing their submissions! We received a number of very good applications. Again, like in previous years, it was a neck-and-neck race.
To those participants who did not make it into the final round: Please rest assured that the time and effort you spent for writing your application was not wasted! The next opportunity to submit your good data management practices is in September 2024.
Data 2 value – pioneering data excellence for strong railways
The Data Intelligence Center (DICe) at DB AG is tinkering with making data sharing and data accessibility a little better every day so that the invaluable value of DB data can also be used to create value. Also, the DICe initiates the transformation of data management and data use throughout the Group, implements innovative and efficient solutions in the areas of data governance, data quality and data democratization and promotes Deutsche Bahn's data culture through knowledge sharing and consolidation as well as the appreciation and use of data-driven potential.
Power to the people: bring data excellence to 150 countries and scale business value in 18 months
Over 18 months, Tetra Pak has implemented a global approach to data democratization in 150 countries. The focus is on enabling broader access to data, promoting collaboration, and realizing the full value of data. To ensure data quality, the company has developed rules for measurement and integrated local experts into processes like SAP MDG. This approach has fostered collaboration, built trust, and enhanced the experience for business partners, resulting in greater satisfaction
Construction of a Data Foundation Aiming at Connection and Sharing
Huawei gathers and links data, breaks down data silos and redefined data-obtaining methods and processes by building a data foundation. By building the data foundation, Huawei has aggregated internal and external data, reorganized and linked the data, provided a clear definition and unified structure for the data, and made it easier to obtain the data while still protecting data security and privacy, thereby breaking down data silos. The two-layer data foundation, comprising the data lake and themed data linkage, has been constructed to generate a logical data collection. It provides data services for analysis, visualization, and decision-making, and creates value by converting enterprise data into data assets.