What actions must one take to make data quality effective? This session brings the curtains down with actionable guidance on how data practitioners should prepare for the next generation of data quality.
Agentic AI is advancing through enterprise software faster than most technology transitions have moved in the past. Data operations is not peripheral to this shift — the volume of signals modern pipelines generate, their cross-system dependency chains, and the measurable…
Both disciplines are expanding across the industry — yet data incidents still slip through platform detection and surface through stakeholder complaints. The Operational Gap That Most Data Programs Share A team that has built comprehensive observability coverage finds, paradoxically, that…
Discover how investing in data quality drives measurable ROI and transforms business performance. Learn key metrics like Data Issue Detection Time (DIDT) and Data Issue Resolution Time (DIRT) to quantify the cost of poor data quality and demonstrate the value of improved data quality.