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Client Story

September 18, 2026
4 min read

Leading Entertainment Company Compresses its Annual Privacy Risk Assessment From Weeks to Hours

The client’s annual Privacy Risk Assessment (PRA) once consumed dozens of specialists’ hours across intake, year-over-year comparison, and executive reporting. Protiviti built a PRA Builder skill that now runs the cycle end to end, with guided intake, validation of year-over-year changes, and automatic generation of the assessment workbook and the executive deck....
Unified Compliance Framework helps global online platforms streamline multi-regime safety compliance, reducing duplication and saving 1000+ hours of effort.
Automate supplier lifecycle management with Oracle supplier portal automation. Improve invoice accuracy, reduce onboarding time by 75%, and enhance procurement efficiency.
Integrated Business Planning (IBP) helped a global manufacturer boost forecast accuracy by 15% and cut quote-to-order cycles by 49%, driving agile growth.
A U.S. supplement manufacturer used SAP Business Data Cloud to simplify a greenfield S/4HANA migration, reducing risk, preserving reporting, and enabling future analytics.
Learn how a water agency modernized operations with Oracle Cloud ERP, achieving significant efficiency gains and enhanced compliance.
Learn how a multi‑market health system modernized its planning approach by implementing a streamlined Workday Adaptive Planning model, creating greater operational efficiency across its organization.
A global technology leader empowers sustainable building operations, cutting costs by 10% and transforming ESG reporting with measurable results.
FP&A transformation enabled a rapidly scaling nuclear energy company to boost structure, speed, and strategic insight, supporting IPO readiness and growth.
Discover how data transformation enabled a fiber products company to streamline FP&A, enhance reporting, and support scalable growth through modernized data governance.
A global equipment manufacturer spent years developing a proprietary predictive‑maintenance platform, but the solution couldn’t scale in production. It performed well in the lab yet failed to deliver reliable insights in variable field conditions, and its rigid design, requiring new hardware and software, made it unsustainable.
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