The AI in Business Podcast Turning Operational Data into AI Ready Assets - with Andrew Deutsch of RR Donnelly and the Fangled Group
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Nov 15, 2025 Andrew Deutsch, CEO of the Fangled Group and Director of Operations at RR Donnelley, dives deep into the art of transforming operational data into AI-ready assets. He discusses the pitfalls of fragmented data and the importance of tailoring KPIs to specific business contexts. Andrew highlights how real-time forecasting can replace static assumptions and suggests using AI to identify and correct repeated failures in business strategies. He emphasizes the need for organizations to clarify their value proposition and engage decision-makers early to break down silos effectively.
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Differentiate KPIs By Division
- Treat different divisions as distinct businesses when evaluating performance to avoid misleading KPIs.
- A specialty unit can appear worst-performing if compared against commodity production metrics.
Continuously Adapt Sales Forecasts
- Update forecasts continuously using real sales yes/no/maybe signals instead of fixed historical percentages.
- Use adaptive pipeline probabilities so forecasts reflect real-time market changes.
Monthly Reporting Drives Bad Behavior
- Monthly reporting cycles encourage gaming results and last-minute fixes that distort operations.
- Floating, near-real-time financials would reduce binge behaviors and create steadier operations.