When working with data quality improvement there are three kinds of data to consider:
First-party data is the data that is born and managed internally within the enterprise. This data has traditionally been in focus of data quality methodologies and tools with the aim of ensuring that data is fit for the purpose of use and correctly reflects the real-world entity that the data is describing.
Third-party data is data sourced from external providers who offers a set of data that can be utilized by many enterprises. Examples a location directories, business directories as the Dun & Bradtstreet Worldbase and public national directories and product data pools as for example the Global Data Synchronization Network (GDSN).
Enriching first-party data with third-party is a mean to ensure namely better data completeness, better data consistency, and better data uniqueness.
Second-party data is data sourced directly from a business partner. Examples are supplier self-registration, customer self-registration and inbound product data syndication. Exchange of this data is also called interenterprise data sharing.
The advantage of using second-party in a data quality perspective is that you are closer to the source, which all things equal will mean that data better and more accurately reflects the real-world entity that the data is describing.
In addition to that, you will also, compared to third-party data, have the opportunity to operate with data that exactly fits your operating model and make you unique compared to your competitors.
Finally, second-party data obtained through interenterprise data sharing, will reduce the costs of capturing data compared to first-party data, where else the ever-increasing demand for more elaborate high-quality data in the age of digital transformation will overwhelm your organization.
The Balancing Act
Getting the most optimal data quality with the least effort is about balancing the use of internal and external data, where you can exploit interenterprise data sharing through combining second-party and third-party data in the way that makes most sense for your organization.
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