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How Semantic Fuzzy Matching Can Improve Post-Trade Processing Time for Investment Managers

By Scott Rhodes In the investment management industry, speed and efficiency are key to success. The faster firms can process large amounts of data, the quicker they can expand their businesses. Often, the critical part of growth lies in post-trade processing where settling trades, investigating trade breaks or exceptions, and reconciling transactions must be as efficient and accurate as ...

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