Top five trends for data quality and observability
Without healthy data, every decision is at risk. High-quality data allows you to reach more customers, unlock new partnerships, implement new business models, become more agile, and move faster than competitors. However, most organizations focus their data-quality efforts on cleaning up errors, rather than finding and fixing the root cause of the errors in the first place. As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics and AI demands in a scalable way.