![]() ![]() You want to increase sales and get ready to launch a new marketing initiative in response. Say you entered 2022 down in sales due to the economy. Let’s imagine a typical scenario where fuzzy matching adds value to a business. This data matching technique differs from comparing unique reference data, like name and birthday, deterministic data matching. What Is Fuzzy Matching?įor beginners, fuzzy matching defines a type of data matching algorithm used to calculate probabilities and weights in order to determine similarities and differences between business entities like customers. In 2022 there are many different ways to gain the insight necessary for business growth, one of these is fuzzy matching: a powerful tool transforming messy data to a standard customer view in line with your business rules. Simultaneously, the highly respected Gartner Annual CMO Spend Survey Research reported increased demand for customer understanding and insight. What is codeless or No-Code data matching & how does it help with data transformation?Ī 2020 Trends in Data Management report states that trust in an organization’s data quality remains low, only 13.77%.How companies approach fuzzy data matching requirements. ![]() Popular approaches to fuzzy matching algorithm.We’ll explore and explain fuzzy matching in detail with this article, including: In this fuzzy matching guide, we’ll walk you through creating a fuzzy matching strategy and how you can use a codeless fuzzy match solution for record linkage and data deduplication of a million records within minutes. Fuzzy matching, when applied to your business rules, will help standardize your customer view for improved data quality.
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