Automating Data Integrity: Ensuring Trust in an Era of Complexity

As organizations collect higher volumes of more diverse data, data integrity is more challenging than ever. Organizations are dealing with vast amounts of data, making manual approaches to maintaining accuracy, consistency, and context increasingly impractical. Automation is becoming necessary to deal with this complexity.

From automating data validation to streamlining workflows, automation can help ensure that data is trustworthy. TDWI has observed growing interest in automation among organizations, highlighting its critical role in digital transformation and data integrity initiatives. This is not surprising given that only about half of the organizations we survey are satisfied with their data quality.

Listen to TDWI’s VP of Research, Fern Halper, along with experts from Precisely as they discuss how automation, including process automation, can help improve data integrity. Topics include:

• The importance of data integrity and its current state
• Challenges organizations face with ensuring data integrity
• Key elements of data integrity success and how automation supports this
• Strategies for leveraging process automation to improve data quality and integrity while delivering greater business agility