{"slug":"hp-indigo-boosts-manufacturing-yield-and-traceability-with-databricks-and-unity-catalog","url":"https://findausecase.com/use-cases/hp-indigo-boosts-manufacturing-yield-and-traceability-with-databricks-and-unity-catalog","title":"HP Indigo Boosts Manufacturing Yield and Traceability with Databricks and Unity Catalog","description":"HP Indigo migrated more than 3,500 data volumes (~10 terabytes) of disparate ERP, manufacturing and field data, previously tracked manually across spreadsheets and legacy systems, onto Databricks and Unity Catalog. Unity Catalog's built-in data lineage reduced consumable traceability time from two to three days down to about one hour. HP Indigo also built a prediction model on Databricks to optimize manufacturing parameters for one of its parts, increasing yield from 60% to 92%. Databricks AI/BI Genie provides natural-language, self-service data access for business users, replacing ad hoc requests to technical teams.","company":"HP Indigo","industry":"Technology & Software","aiCapabilities":["Predictive Analytics","Conversational AI"],"businessFunctions":["Manufacturing & Production"],"technology":["Unity Catalog","Databricks AI/BI Genie","Lakehouse Federation","Delta Sharing"],"deployment":"Public Cloud","problemStatement":"HP Indigo faced challenges with disparate legacy systems and manual data tracking that slowed decision-making and limited operational visibility. Some critical data was tracked manually in spreadsheets across different parts of the company, making it nearly impossible to maintain a single source of truth.","solutionApproach":"To unify its data and empower employees with reliable, trusted insights, HP Indigo turned to Databricks and Unity Catalog, migrating legacy data warehouses and manual data files onto a single platform with built-in data lineage. HP Indigo implemented Databricks AI/BI Genie to let business users ask questions in natural language and get answers directly from Unity Catalog-governed data, and developed a prediction model on Databricks to optimize manufacturing parameters for one of its parts.","businessValue":"Tracing manufactured consumables through HP Indigo's legacy systems took two to three days; with Unity Catalog, that process now takes just 60 minutes. Using a prediction model in Databricks, HP Indigo increased yield on one manufactured part from 60% to 92%.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/hp-indigo","dates":{"publishedAt":"2026-09-05T09:05:06.628Z","publishedAtSource":"pipeline","updatedAt":"2026-09-05T09:05:06.628Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/hp-indigo-boosts-manufacturing-yield-and-traceability-with-databricks-and-unity-catalog. Bulk republication requires permission."}