From Chaos to Clarity:Data Products for KPIs, Reporting and AIYou Can Rely On
Unreliable data. Misaligned teams. Manual overload. Sound familiar?
After ten years in the market and thousands of customer conversations, One Data has pinpointed the three pains that hold data teams back: data that can’t be trusted, right data producing the wrong outcomes because teams aren’t aligned, and a manual workload that buries data engineers before they ever get to innovate. In this technology demo from the Data Innovation Summit 2026, we show how One Data’s modular platform solves all three — with a live focus on AI-powered code automation in Databricks.
Trust starts with visibility.
The demo begins with the One Data Data Map — a dynamic visualization of ingested metadata from multiple sources, including Databricks Unity Catalog, BigQuery DataPlex, and traditional databases. Assets are clustered by organizational structure, fully searchable, and enriched with cross-system lineage information. The result is full findability, traceability, and observability of every data asset in your landscape.
Data products that align business and IT.
From the marketplace, the demo walks through the creation of a new data product — with AI-assisted schema definitions, purpose descriptions, freshness requirements, and automated quality requirements. Each data product carries a versioned data contract structured according to the Open Data Contract Standard, creating a clear agreement between business expectations and technical delivery. No more misaligned specification documents passed back and forth between teams.
AI-automation that scales.
The heart of the demo: One Data’s automation packages. Orchestrated AI agents take the data product’s context, supporting assets, and development specifications and generate production-ready transformation code and data quality checks directly in Databricks — as notebooks, ready to execute. A detailed agent log provides full transparency into every step the AI took, ensuring trust in the automation itself.
From use-case to portfolio.
For complex, multi-stakeholder scenarios, the Use Case Blueprint provides a collaborative canvas for designing end-to-end solutions — linking data products, assets, and lineage into a complete picture. Across the organization, the Data Health Dashboard aggregates quality checks and contract statuses, giving data product owners and managers a bird’s-eye view of their portfolio’s health.
The result:
One Data doesn’t replace your data platform. It makes it trustworthy, aligned, and automated — so your KPIs, reports, and AI actually deliver.