To harness data’s full potential, organizations must ensure the integrity, availability, and efficiency of their data processes.
They need to be able to track and observe the data flowing through their data environments. When problems occur, they need to be alerted in real time to be able to address them. Organizations are using a range of different tools and tool types to perform different aspects of data monitoring and observability. These include core data management tools as well as newer automated and observability tools.
Organizations with healthy data derive more value from their data. This TDWI Best Practices Report examines the processes and best practices organizations are putting in place to track data flows, detect and respond to issues in real time, and maintain overall data health.