Large enterprises face challenges with siloed data, incomplete metadata, and inefficient data usage. These barriers lead to untapped insights, unrealized financial value, and bottlenecks in decision-making processes. The HPE Data Recommender uses metadata propagation, lineage analysis, and contextual insights to suggest datasets, models, and processing steps. This enables the discovery of valuable “dark data,” even in poorly documented systems, empowering organizations to make data-driven decisions.