Data Management

For most organizations, their data has been captured using different systems and applications. For some, acquisitions have increased the number of silos in which data resides. Therefore, duplications and variations of information are inevitable.

The matching and linking feature uses algorithms that automatically identify duplications and help resolve multiple entries into a single, accurate record.

Without this functionality, for example, run the risk of contacting the same customer twice or listing the same product multiple times. This not only alienates your customers, it also skews any analytical results—as you can’t hope to obtain accurate insights if the data being examined is full of inaccuracies.

Transforming data from a multitude of systems into one single, accurate record is a critical part of any master data management solution. In addition, the master data matching and linking feature will ensure you.

  • Eliminate duplicated data.
  • Are able to monitor the integrity of your source systems.
  • Can automate a number of otherwise resource-demanding task.
  • Feed accurate information into all your systems.
  • Have the foundation from which to enrich your records with third-party data.

Applying master data business rules

They should be centralized, allowing the rules to be changed once for the effect to be applied everywhere. Business rules should be implemented directly in the user interface without having to wait for backend development.

The benefit of business rules is that they allow you to create, apply and manage a companywide data governance policy. Your chosen policy will enable you to define the data lifecycle for each relevant object type, define the workflow for decision and approval processes on key data situations and define business rules that enforce integrity on data.