Data management: A heterogeneous data landscape for Bayer

The collaboration between our Software & Information Engineering department and the Swiss company Data Quality Solutions (CDQ), a leading institution for data management in Europe, has successfully optimized Bayer's data landscape.

Challenge: Different IT systems for data maintenance

In large companies like Bayer, several IT systems are often used for data management. Different business areas focus on different aspects of a category. For example, industry activity and customer interest are important for marketing, while sales is more interested in shipping addresses and creditworthiness. This fragmented system landscape led to challenges:

• Lack of traceability in the supply chain
• Increased costs due to multiple orders
• Reduced data consistency and transparency

Solution: Networked data with linked data

By using linked data, individual properties stored in different systems could be identified and merged. Linking the data sets enabled more efficient management and analysis of company data.

• The FAIR and linked data approach ensured a comprehensive description of all relevant data points.
• Metadata made it possible to link the information in a structured way.
• The new data landscape increased transparency and efficiency throughout data management.

Result: Improved data structure for greater efficiency

The successful implementation created a heterogeneous but networked data landscape. The improved data structures led to:

• Higher data quality and transparency
• Cost savings through optimized processes
• More efficient analysis and use of company data