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In this episode of Fintech Layer Cake, host Reggie Young sits down with Lee Easton, founder and president of iDENTIFY, to unpack one of fintech’s least understood layers: bank transaction data. Lee breaks down why raw bank data is so unreliable out of the box, and what it actually takes to clean, enrich, and classify it so that it's usable for real-time fraud detection, underwriting, and customer engagement.
From manual tagging nightmares to building classification models across 1.2 billion transactions, this conversation is a practical deep-dive into what “decision-ready” data really means.
By Lithic5
2222 ratings
In this episode of Fintech Layer Cake, host Reggie Young sits down with Lee Easton, founder and president of iDENTIFY, to unpack one of fintech’s least understood layers: bank transaction data. Lee breaks down why raw bank data is so unreliable out of the box, and what it actually takes to clean, enrich, and classify it so that it's usable for real-time fraud detection, underwriting, and customer engagement.
From manual tagging nightmares to building classification models across 1.2 billion transactions, this conversation is a practical deep-dive into what “decision-ready” data really means.

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