How to Build a Strong Culture of Data Quality with Domo

Poor data governance and quality costs organizations an average $12.9 million per year. Organizations that have well-defined data governance processes benefit from faster decision-making, improved data security, timely data availability, and increased confidence. Achieving high data quality is a competitive advantage that data and analytics leaders are continually trying to improve.

In this session we will focus on how to implement a transformative data governance model for a large healthcare network UPMC, and how Domo was a key piece of that solution. Touching on topics such as handling PHI/PII data, tracking user engagement, Governance Toolkit, and Sandbox. This session will provide practical ideas on how to build a strong data governance foundation with Domo. 

In this session you’ll learn:

  • How Domo Governance (aka Data Governance) plays a role in data quality and user engagement in Domo.
  • What components in Domo can I use to accelerate my Data Governance program.
  • Using the new features to help automate my data governance tasks and create observability scores for datasets.


  • Alan Hyman Director, Data Solutions Architecture, Search Discovery

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