Case Study: AMD streamlines market insight delivery with KNIME

How AMD streamlines and scales insight delivery to end users

AMD, the semiconductor company, needed a faster and more reliable way to gather, clean, and analyze large volumes of market intelligence and TAM data from multiple disparate sources. Its market insight team had to deliver timely forecasts and market-share information to the business through Excel files, pivots, and automated dashboards, while also maintaining accuracy, traceability, and a single source of truth. AMD used **KNIME Analytics Platform** to address these challenges.

With **KNIME**, AMD streamlined its entire ETL workflow using visual, low-code analytics that made data prep, documentation, and debugging much easier. The team automated integration of syndicated datasets, forecasting, and database loading, while also improving sharing and reuse across teams. AMD reported that it can now build a workflow from scratch in just a couple of months, significantly reducing delivery time and overcoming spreadsheet limits, and it plans to expand KNIME use beyond TAM forecasting to broader company-wide market modeling and forecasting.

AMD

Laura Rutledge

Market Insight Manager