This white paper focuses on the limitations of spreadsheet-based processes in manufacturing and the benefits of transitioning to automated analytics workflows. It outlines challenges such as inconsistent data, manual errors, lack of scalability, and delayed insights across supply chain, operations, and quality teams. The paper shows how workflow automation enables manufacturers to integrate data from multiple systems, standardize analysis, and respond faster to disruptions. Key use cases include demand forecasting, inventory optimization, and performance monitoring. The paper positions analytics workflows as critical for building resilience, improving efficiency, and supporting data-driven manufacturing operations.

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