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Key business initiatives such as mergers & acquisitions, internal and external reporting, process optimization, as well as overall digital transformation, relies on trusted data.

Yet many organizations overlook an important area of data management complexity: reference data management.

Errors in the reference data can have major business impact. Reports meant for internal or external audiences that pull data from multiple applications and departments can be inaccurate. Difficulties in aggregating data across different functions prevents a complete picture of the health of the business.  

While the amount of reference data in most organizations is relatively small, this type of data can be found everywhere. Also known as e.g. lookup tables or code data tables, it gives users consistent values to choose from, for e.g. dates, countries, gender, or industry

It may appear to be simple but managing this information across a large enterprise can be deceptively complex. A typical approach in many companies, is to define and maintain reference data on an application-by-application basis. This brings a lot of inconsistency, as the data differs within each application. 

Join this live webinar where we will cover:

  • How the right reference data management architecture can deliver big gains in efficiency, productivity, and reliability
  • Simplified consolidation, management, and distribution of reference data
  • The opportunities to leverage artificial intelligence and machine learning to automate reference data management
  • Empowering business users to use reference data in a simple and meaningful way
  • Cloud-based end-to-end governance to accelerate time to value

Duration: 20 minutes plus Q&A

Presenters: 

  • Sylvester Oranje, MDM Sales Specialist, Informatica
  • Barry Wildhagen, MDM Senior Product Specialist, Informatica 

 

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This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.