In a recent article for Forbes Tech Council, DryvIQ CEO Sean Nathaniel shares the proven secret to addressing this challenge: human-in-the-loop data quality automation. A strategic, hybrid approach that combines human intelligence with the speed of automation to help prepare your document estate for a data-driven future.
“This is more than just a hypothesis—it’s a best practice among some of the world’s leading enterprises.”
The article covers key considerations for building data management workflows that include automated actions with human validation before finalization, as well as examples of what some of those workflows could look like, including:
- Data Classification
- Data Retention & Archival
- Employee Offboarding
Read the full article to learn more about how human-in-the-loop automation of data quality can better ensure your organization is ready to leverage the full potential of your data for the innovations ahead.
