Data product reusability: Cut costs & scale AI with 3 key changes

Many organizations waste significant time and resources by rebuilding existing data assets due to poor discoverability and a lack of trust in current datasets. To break this cycle, companies must shift toward prioritizing governed, reusable "data products" that feature easy, plain-language discovery and built-in quality signals. Implementing this approach can drastically reduce redundant work, increase analyst productivity, and provide the necessary foundation to accelerate AI-driven business outcomes.