Why One Business Deal Can Produce Three Correct But Conflicting Numbers

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A data warehousing analysis explores why different teams within the same company can report vastly different figures for the same deal without anyone being wrong. Using a fictional SaaS company as a case study, the piece illustrates how Sales, Finance, and Customer Success each answer a legitimately different question about a single contract. A 12-location, three-year deal worth $648,000 yields a full contract value for Sales, $18,000 in recognized revenue for Finance, and an 8-of-12 onboarding rate for Customer Success. The article argues these are not conflicting errors but category differences, since the three figures measure entirely distinct business realities. It frames this as a core challenge in data modeling: when there is no single correct grain, choosing how to structure the data is itself a consequential decision that must be justified.

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