Case Study: Procter & Gamble achieves faster, smarter product innovation with JMP

Procter & Gamble - Customer Case Study

Procter & Gamble (P&G) needed to keep pushing the boundaries of science and technology in its cleaning and personal care products while improving how it collected and used data across R&D, manufacturing, and process improvement. With JMP, P&G aimed to build a more data-driven culture and use design of experiments (DOE) to make better products more efficiently.

JMP helped P&G adopt analytics throughout the organization, using its DOE capabilities and intuitive Graph Builder to design smarter experiments, uncover meaningful insights faster, and bridge communication between statisticians, engineers, and managers. The result was a stronger continuous-improvement culture, better resource use, and improved decision-making, with JMP enabling P&G to identify optimal solutions that could also reduce costs.

Procter & Gamble

Beatrice Blum

Statistician