That was has been working successfully for many years for vehicles, farm equipment, holiday homes and on Wikipedia is now possible with business partner data: common management and usage of information, specifically of customer and supplier data. The Corporate Data League (CDL) was founded by CDQ for this exact reason. We have been facilitating company-wide data sharing for CDL members since 2016. The member corporations use our modern cloud infrastructure as well as our innovative services. Among these are apps designed to find duplicates or address data in need of correction.
Every company has customers and suppliers. Every company requires current, complete data for these business partners. Customers and suppliers are not exclusive, however, as they often overlap. For example, the CDQ AG company tax number is not only of interest for a customer, but also for all companies being supplied by CDQ AG. A change in the VAT number is of even higher interest for all customers.
The Corporate Data League (CDL) seizes this potential: A unique network of global corporations for joint maintenance of business partner data. In addition to direct usage, made possible by high data quality and minimal effort in data management, these companies also cooperate in many other areas. This allows them to work together on the definition of meta data (e.g. measurement rules for data quality) and the identification of other data sources (particularly, open data), among other things.
The principle of a successful data sharing economy is as simple as it is genius. The companies equally take care of the input and maintenance of their business partner data and share the load with many parties. Simultaneously, the data quality is massively improved; for example, through the following:
The amount of overlap amongst the data sets is higher when all companies come from a single branch. Specific data, e.g., on hotels, consultations or IT servicers, are industry independent and can be collectively maintained by all companies. Basically, the greater the overlap, the more individual companies profit from the cooperation.
Thanks to common overlap, duplicates are recognised, incorrect inputs are filtered out and “Golden Records” formed - complete and valid data entries that were previously determined, collectively.
Now the Shareconomy has also reached the area of business partner data: In its current blog post, SAP addresses the still relatively unknown data share economy and explains the principle of the collaborative use of corporate data. ▶ Using the Sharing Economy to Improve Supplier Data
None of the participating companies need to worry about data security when sharing data. Ultimately, nobody wants his customer data or supplier network fully disclosed. For this reason, data exchanges within the Corporate Data League are completely anonymous and it is not possible to export the data to other members. This creates an atmosphere of trust and cooperation, while simultaneously securing each company’s own business partner data.
The maintenance of common data pools has another advantage: Should a participating company misdeliver due to an outdated shipping address, this error is then corrected for all members of the CDL. Furthermore, attempts at fraud using falsified bank accounts are reliably prevented. A common blacklist and a sophisticated rating system protect members of the CDL from scam attacks. This minimises business risks for all participants.
It is not only data that brings the CDL together, but also people. In addition to common data usage, regular exchanges amongst participating companies as well as with our data management experts is especially at the forefront. During regularly occurring workshops, best practices are discussed, experiences shared and apps collaboratively developed. Through active member participation, the services are particularly well aligned with the requirements of the individual companies.
Today, the CDL has 14 members (BASF, Bayer, Bosch, Dekra, Evonik, Lanxess, Lonza, Merck, Nestlé, Novartis, SAP, Sartorius, Siemens and ZF Friedrichshafen). In a community charter, these members determined specific guidelines and principles for the purpose of cooperation. The compliance with these rules is monitored by a steering committee (CDL Steering Committee).
We manage all services of the CDL and maintain an extensive CDL Wiki for the community. Our CDL team, consisting of developers, product managers and support staff, is constantly working on developing new features and continuously improving upon them.
Data exchange in the CDL is made possible by the CDQ Cloud Engine. This service platform provides functionality for reading and writing large amounts of data as well as services for address cleansing, identification of duplicates, data validation and many more. The CDQ Cloud Engine provides services through technical interfaces; more specifically, through a web service API. This API can be integrated into modern operating systems from all software vendors via common integration standards such as REST and Json or WSDL/SOAP and XML.
CDQ cooperates with renowned SAP partners for integration of the API into SAP systems (e.g. MDG), who create individual integration solutions or who offer connectors for standard scenarios. Individual services can also be integrated into SAP applications via the apps in the SAP App Center.
"Sharing proven bank account data saves significant time, compared to contacting the customers/vendors directly to verify new bank accounts. "Data Shareconomy" is an effective approach to unlock this source of trusted information."Philippe Baumlin, Manager of Global Master Data Strategy, BASF
"We have set out on the journey with the Corporate Data League together with a number of peer companies. We are convinced that CDL will support us strategically in bringing our data management into the next generation."Jens Peter Henriksen, Global Process Owner Master Data - Vendor Master Data, Bayer
By matching many data sources, quality improves for all members
Companies distribute the effort between many business partners by sharing their business partner data
Fraud attempts with fake bank data can be reliably avoided in the community
In order to enable an efficient exchange of business partner data across company boundaries, a huge amount of data processing is required–as much as possible in the background and automated. These tasks are performed by the CDQ Cloud Engine; for example, through the following:
The engine uses a large number of external data sources and uses intelligent methods such as machine learning. It is continually being improved by the CDL software development team. The feedback from the CDL community plays a major role, in particular.
The CDQ Cloud Engine tools are not only used within the CDL, but are also available to other users via the CDQ Data Quality Tools in a modified form, serving as a self-service.
We operate the cloud engine in the Amazon cloud on servers in Frankfurt and Dublin within the legal framework of the EU. All data, metadata, log-in files and backups are also stored in this infrastructure. All data transfer between CDL members and CDQ, as well as between components of the cloud engine, is encrypted. The security architecture of CDL has repeatedly been reviewed by CDL members.
The higher the overlap of customers and suppliers in the CDL community, the greater the benefit. The overlap within an industry, thus with direct competitors, is highest. Therefore, anonymity is a central principle of the CDL; no member of the community sees by whom which data is provided. We protect this information and assure this protection through agreements that are both bilateral and confidential. The origin of the data will only be disclosed if it originates from public sources and only if it has been integrated by us.
The data exchange within CDL is limited to company data. Information on natural persons is excluded and is removed if it reaches the common data pool. The members of the CDL are responsible for the exclusion of data regarding natural persons. Naturally, we support you in this. The Cloud Engine offers a service for the identification of data records containing natural persons. This service "learns" through feedback coming from the CDL community; thus, delivering much better results.
The data exchange in the CDL is generally open to all companies and is limited to information that is publicly available in detail (for example, company names, addresses, tax numbers). For security reasons, some CDL members had this cooperation rated by antitrust authorities and subsequently, obtained a clearance.
We provide an API—a technical interface. The CDL members can send and receive data with this. The API can be integrated directly into the data management process (e.g., an SAP/MDG process). This integration is not visible to users within these processes. You simply have more automated checks or more recommendations available when searching.
Data can also be shared in a batch procedure, that is, regularly via a file. In this case, we take over the data quality check, transmit the discrepancy to the current data pool and import the data. Data quality reports, updates for own data and many other services are also available via web applications (CDL apps) without any costly technical integration.
CDL is generally open to all companies, although a certain level of maturity in data management is required to effectively take part in data sharing. Contact us and we will happily inform you of the modalities and costs!
Are you interested in a Corporate Data League membership? We are happy to inform you of all of the individual benefits for your company!