As modern organizations accelerate decision-making driven by data and analytics, the need for trusted, high-quality data has never been more important. Yet only 27% of data practitioners completely trust their data. And, 30% of time is spent on non-value-added tasks due to poor data quality and availability. It’s critical to prevent bad data from entering systems and propagating further, as repairing the damage can be costly and potentially harm organizational reputation. By embracing data quality and observability techniques, organizations can identify and rectify data issues more effectively. Join us for this live demo to learn:
- Why data quality and observability matter for modern data-driven organizations
- How data profiling can quickly put you on the path to improved data quality and accuracy
- How implementing data cleansing processes can ensure accuracy and consistency