Data Sharing

The most effective and innovative way to customer and supplier data creation and maintenance.

Data sharing
Master data is becoming a key resource as comprehensive and up-to-date data on core business objects (e.g., customers, products, employees or suppliers) is prerequisite to digitize business processes, implement innovative business models and meet regulatory requirement. Yet many companies struggle with inadequate data quality, data silos and high data maintenance costs.

Why Data Sharing?

Most of customer and supplier data attributes like legal name, address, tax number, as well as financial stability and social compliance, refer to real-world status of a business partner. As such, existing business partners change their addresses, run out of business, or tax numbers expire.

By jointly managing the overlapping master data, data quality rules and data sources, companies significantly reduce their efforts and costs to keep their business partners up to date, and, at the same time, improve data quality.

So, why work harder and pay more when data sharing can help you work smarter and achieve more for less?

How do you deal with burden of data maintenance?

Software costs
Costs of software for entering and maintaining data records, documenting, creating and using data quality rules, as well as measuring data quality.
Data governance
To create data first-time-right and keep it up to date in a siloed approach, you need clearly defined responsibilities, processes, and methods.
When performed in silos, data accuracy depends on trained and skilled people across the world simultaneously doing the actual work.
From siloed to sharing
Ready to use data quality rules
Instead of defining, testing and implementing own rules, you access 2500+ ready-to-use rules, proven and used by the sharing community.

Learn more about the rules

Trusted external data sources
External data sources streamline data updates and enrichments. CDQ offers 70+ data sources including official business registers and premium sources.

Explore our data sources

Unified data model
CDQ Data Model (mapped to SAP ODM) enables a shared and standardized approach to defining business partner master data.

Get to know CDQ data model

Benefits of Business Partner Data Sharing

Direct and Indirect Benefits of Data Sharing

What happens when you share Business Partner data?

Save time and money by reducing inefficient data management efforts.
Benefit from long-standing knowledge and good practices of many global companies.
Improve your data quality by using trusted data sources and data quality rules.

Boost business value with data sharing

Let's Talk Data podcast from SAP

Companies that succeed at data sharing can get more value from their data and analytics strategy. Join Kai Hüner, CTO at CDQ, and Andreas Doehrn, Head of Master Data Management Engineering at SAP, as they discuss the concept of data sharing.

  • What is data sharing?
  • Why is data sharing important?
  • What is the business value to achieve with data sharing?

Pick your channel to listen to Data Sharing Podcast:

YouTube  |  Spotify  |  Apple Podcast  |  Google Podcast  |  Soundcloud


Data Sharing Community

To bring data sharing to life, CDQ initiated the first Data Sharing Community. This community has jointly built up a shared data pool for business partner data. It is the only data pool which does not only cover open data sources, but also records shared directly with the community by members.

Above all, this includes operationally:

  • Updates on business partner records
  • Ready-to-use data quality rules
  • Industry and region-specific data
  • Shipping addresses or other non-legal locations

Interested to be a part of the community? Get in touch now!

Watch more data sharing examples

Watch now!
Expert insights

Join Scott Taylor (aka "The Data Whisperer") and CDQ Chief Technology Officer, Kai Hüner, in their discussion about data sharing and how it can favor your business.

Data Sharing With Scott Taylor
trusted data sources and customer and vendor records

Data Sharing with CDQ in a nutschell

Mio business partner records
in CDQ shared data pool
data quality rules shared
within a trusted network
of suppliers and customers
overlap between enterprises*
*Based on CDQ analysis performed with community member-companies
Emanuele Francia

I believe data sharing is a future key capability. Being a part of Data Sharing Community can really bring you up to speed with this approach. By using data sharing capabilities we can save time, reduce business issues, and obviously achieve efficiency improvements.

Emanuele Francia
Enterprise Data Governance Manager
Tetra Pak

Free e-book

Your competitive edge: Data Sharing

Data sharing is a proven community- and research-based approach to create and maintain data as a shared resource by a community of peers.

Sharing customer/vendor and supplier master data will lift much of the maintenance burden off your shoulders and rapidly boosts data quality.

How, exactly? Discover in this free eBook!

Get your copy!

Data Sharing Ebook

Data Sharing on CDQ Blog

Power of community: become a data hero too!

Twice a year the CDQ Data Sharing Community gathers for a 2-day onsite workshop to discuss all things master data in quite a unique format. During the event,…

Data Mesh and the case of Data Sharing

Fueled by the increasing demand for distributed, scalable, and agile data platforms that can enable

Trust in shared data: quantifying the benefits of Data Sharing

Some call this approach 'Interenterprise MDM', some call it 'Collaborative Master Data Management', but the benefits of data sharing go beyond names. CDQ is the…

Data Sharing Frequently Asked Questions

How does CDQ enable data sharing?

CDQ Data Sharing platform provides various services for the creation and validation of data records as well as workflows for updating the data. It includes the shared technical data model with quality rules and enrichment with external data sources, and is designed for sharing of customer and supplier data records between the companies in the network.

How does data sharing look in day-to-day business?

Upon creation, companies can use a search function to determine whether a corresponding record for a business partner already exists, i.e. whether another company already maintains this data record or if at least external reference data is available. As soon as one of the companies is informed by a business partner about changes to the data, it triggers a workflow to update the data record.

What is data sharing, and why is it essential for modern businesses?

Data sharing involves the exchange of information between different entities or systems. In business, it facilitates collaboration, informed decision-making, and innovation. It enables organizations to leverage diverse data sources for better insights and operational efficiency.

How can businesses ensure the data they share is considered trusted data?

Trusted data is reliable, accurate, and consistent. To ensure data is trusted, businesses should establish data governance frameworks, implement quality controls, validate sources, and employ data management tools to maintain data integrity throughout its lifecycle.

What is business partner master data, and why is it crucial for organizations?

Business partner master data comprises comprehensive, accurate, and standardized information about entities with whom a company conducts business, including customers, suppliers, and vendors. It's crucial as it forms the foundation for operational transactions, strategic decision-making, and maintaining effective relationships.

How can companies maintain the quality of their business partner master data in a shared environment?

Companies can maintain the quality of business partner master data by implementing data stewardship programs, employing data quality checks and validation processes, establishing clear data ownership, and fostering a culture of data responsibility among stakeholders involved in data sharing.

How secure is data sharing within the community?

The anonymity of the companies is maintained and a dual control principle (i.e. a review by a second company) ensures the high quality of and trust in the data provided. The (positive) experiences have already led to extended data sharing scenarios, such as the sharing of trust scores based on transaction data, which enables fraud cases to be detected earlier and therefore more efficiently.

What are the security considerations when engaging in business partner master data sharing?

Security is paramount when sharing business partner master data. Implementing robust encryption methods, access controls, data anonymization where applicable, compliance with data protection regulations, and contractual agreements outlining data usage and protection measures are essential for secure data sharing practices.

These leading companies already benefit from data sharing

BASF logo
Bayer AG Logo
BOSCH logo
Dovista Logo
Dräger logo
Evonik logo
Ferring logo
Fresenius Kabi logo
Johnson & Johnson
LanXess logo
Nestlé logo
Novartis logo
Rheinmetall logo
Sartorius logo
Schaeffler logo
Schwarz logo
Siemens logo
Swiss Krono logo
Tetra Pak logo
Unilever logo
Vaillant logo
ZF logo