Ask any data analyst or scientist where their time goes, and the answer is consistent: half of it is lost to searching for data assets, redoing work, and manually documenting datasets, models, and insights. Unfortunately, this is still the dominant reality of data work in 2025. For years, organizations have treated this as background noise, an unavoidable cost of doing analytics at scale. But the waste has become too significant to overlook. When 50% of expert time is consumed by administrati...
