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This invention helps businesses understand why their performance metrics change. It spots unusual shifts in a key number, then identifies what factors contributed to that shift, and finally pinpoints the exact business activities that caused it. This process relies on specific rules applied to data organized in columns and uses a map of how different data processes depend on each other.
Why it matters: Filed just before the widespread adoption of advanced AI for data interpretation and causal analysis. Modern AI, especially LLMs, could now significantly enhance the automatic generation of dependency graphs and the identification of root causes from complex business data.
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