SAP insider Magazine
The “10% Data Rule”—Why Less is More in the AI Era In an age of infinitely growing data lakes, Lucas offers a counterintuitive perspective: most of your data is just digital sand. While organizations have spent decades obsessed with the exponential growth of data tracking, Lucas argues that the strategy of collecting everything is a silent failure. • The Signal vs. The Noise: Lucas estimates that only about 10% of the data a company collects creates tangible value for the organization. • Operational Distillation: “I can distil all the information I need to run a software company onto a single piece of paper,” Lucas explains, focusing on real-time customer satisfaction, engineer productivity, sales pipeline, and revenue. • The AI Implications: Success in 2026 isn’t about volume, but about activating the right data. Lucas warns, “The world will not succeed with AI until we feed agents quality information, secure information of the highest quality.” • Industry Variance: While the “10%” rule is a baseline, the specific data points vary. For a manufacturer, it might be machinery vibration data; for a CFO, it could be financial reconciliation; for Lucas, it’s “real- time customer satisfaction data.” The “10% Data Rule” —Why Less is More in the AI Era
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