In today’s data-driven world, businesses are constantly looking for ways to connect the dots between fragmented data points—whether it’s identifying the same customer across multiple platforms, reconciling records, or optimizing targeted advertising. Two primary methods dominate this space: Deterministic Matching and Probabilistic Matching.
But which is better? The answer...
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