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