Case Study: GE Renewable Energy achieves self-service analytics and instant product insights with Tableau Software

GE Onshore Wind achieves self-service analytics and instant view of product data with Tableau Prep

GE Onshore Wind, a $7 billion business with more than 35,000 turbines worldwide, needed faster, more trusted insight from product development data that lived across Oracle, Primavera, Salesforce and other systems. The four-person Product Analytics team struggled with orphaned datasets, multiple tools (R, SAS, Python, Excel), long prep times and low data trust—an example being sales data that took ~18 months to clean—creating a backlog of analytics requests and slow decision cycles.

By centralizing data in Greenplum and adopting the end‑to‑end Tableau platform (Tableau Prep, Tableau Online and Prep Conductor), the team automated and visualized ETL flows, replaced five tools, and democratized access. Results included shrinking data-prep from 18 months to about two weeks and analytics cycles from weeks to days, enabling rapid 2–3 week prototyping, self-service dashboards, roughly 10 hours saved per week, and the capacity to scale to dozens of projects with a trusted single source of truth.

GE Renewable Energy

Ben Hart

Senior Product Manager and Product Analytic Lead