Improve Data Processing Performance Across the EnterpriseData matching is at the core of virtually every business process. Whether you need to match an invoice with a purchase order, a purchase transaction with a customer history, a warranty claim with an owner registration, or a part number with a supplier's price list, matching is the key capability that drives them all. It doesn't matter if you're in health care or financial services, government or retailing, you depend on matching for virtually everything you do. Computers are great at matching data as long as it matches perfectly. And it's a testimony to the enormous skill and effort of IT professionals that such matching works as well as it does. But inevitably, with data coming from many different sources, and with different users editing and working on it, inconsistencies creep in. Paradoxically, because humans are so good at perceiving similarities, they often don't even notice these inconsistencies. That's why inconsistencies keep recurring, despite our best efforts to standardize data and ensure quality. That's also why Netrics is so powerful. It mathematically models the way humans perceive similarity. Errors and inconsistencies which are problems for conventional software don't bother it at all. This allows it to drive your business processes more reliably than ever before:
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