Many companies hope to benefit from amassing large amounts of data by mining it for market insights, creating internal business models, and supporting strategic, data-driven decisions. But as companies collect and store increasingly enormous volumes of data, they may unknowingly take on significant legal risks, including potential violations of data privacy laws and increased exposure to U.S. litigation discovery obligations. One way that businesses can mitigate these risks is to de-identify the data they collect and store.

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