When I talk to data teams about the benefits of data observability and data quality, it’s often framed to prevent the negative impacts of insufficient data: poor decision-making, lost revenue, and even the erosion of customer trust.
With Gartner predicting that poor data quality costs organizations $12.9M per year, data observability becomes a no-brainer.