Building Trust in Data Through an Evolved Approach to Data Quality and Governance
Data quality used to be a one-dimensional term: Is your data right? As the data landscape has become more complex and sophisticated, data quality has evolved to require a more holistic approach to encompass much more to ensure trust in data. Integrated data quality, governance, and multi-domain data management provides a more robust single view that data-driven companies require to have more complete confidence in critical business decisions.
Chuck Kane, VP of Product Management, Precisely, shares use cases trends that illustrate how innovation in data management continues to evolve. Topics that you will hear addressed:
Evolving Data Monetization: improve your bottom line with the ability to confidently leverage data as an asset
Evolving to a Single View of Data: break down silos, and gain a powerful, comprehensive single view of your organization’s data
Evolving Data on the Move: ensure consistent levels of data quality by monitoring data as it moves throughout the business
Evolving Operational Value: enrich, fix, and validate data to open the door to new possibilities