Reference data sources
Benefit from integrated data sources to improve master data quality
Build your single source of truth with external data sources
Integration of external data sources for data enrichment or validating business partner and address data is a prerequisite to boost business data process and your overall data quality. And it doesn’t have to be challenging. CDQ Cloud Platform is your external data connector to a wide selection of open and commercial data sources covering over 300 countries worldwide and almost 1000 legal forms. Activate your preferred business partner data sources out of the 60 active suppliers for leaner master data management. Additionally, our Data Sharing Pool has over 2 million business partner records available for Data Sharing Community members.
Clean data you can trust
Business partner information from open and commercial data sources and our Data Sharing Community is normalized, merged into a complete dataset, and checked against our 2,100+ well-developed data quality rules. With CDQ Cloud Platform, you can select your preferred reference data sources through a single interface, create augmented record out of it and flawlessly import a clean record into your system.
Some of our 70+ integrated data sources
Easy integration of reference data with CDQ Cloud Platform
Each data field you want to use must have a defined corresponding counterpart in your database. For example, UK Companies House provides address information in the semantically ambiguous data fields such as “AddressLine1” which require mapping and transformation into your data model.
After mapping your data, you need to curate it. For example, if you look at the information from Zefix, you can see that the “address” field contains a mix of information (street name and house number). Our software developers found a solution for these types of discrepancies and wrote the appropriate code so that the required information is provided in a semantically unambiguous and structured representation.
To give you an easy technical solution for how to integrate this data, we have programmed bots that monitor updated dump files (usually provided in various formats such as CSV, JSON, or Excel). Our expert team programs the bots to ensure that new data is available for our Data Quality as a Service users.
Using open reference data sources is beneficial. However, making this data usable requires a lot of effort. Additionally, these integrations involve continuous maintenance. We monitor changes to the data as well as the data models and implement these changes accordingly.