CHANGE

A robust data strategy relies on a process engineering focus. It necessitates designing information flows and including the automation of data capture to ensure high-quality data by design. This foundational work builds the basis for real value.

Beyond Tonnage: Articulating Value in the Era of Industrial Sustainability

The promise of a data-driven enterprise is often broken because organizations try to build AI refineries on a foundation of low-quality, non-integrated data. This failure stems from poor process design, where manual entry and system silos contaminate the "digital oil" needed for true IA (AI) success.

Achieving a robust data strategy requires a process engineering focus, including the automation of data capture, to build the foundation for value

Featured Insight

18/11/2025

Jose Cortinat - 2 min read

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