Catch Me If You Can – Data Match
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Catch Me If You Can – Data Match

Data matching compares two collected data sets and is typically based on various programmed loops and algorithms that execute it. It is done to weed out duplicate data and help get better search results. It gives you a rich user experience and provides you with data cleansing, profiling, matching and DE-duplication of data. This technique has made it very simple for the various organizations to share information between different departments. This tool is famous for its use in government organizations, where they must control fraud to keep public money safe. In a commercial setting, this software can be used to identify and keep track of customer buying habits to build a better relationship with them. So basically the end goal of this is to regulate and optimize accuracy levels in all areas of an organization.

Data matching software records linking, object identification, and entity resolution. Find connections between data elements. For instance name and address, the software quickly removes all duplicate entries from the database. The powerful matching engine identifies linked records based on similarities or similar records that contain typos, missing words, extra words, nicknames, or name variations across cultures. In the worst case, every record in one database must be compared to every other record in the other database. Such tasks are computationally expensive and difficult to perform in a feasible time.

The benefits of data matching are many, helping to improve work, efficiency and reduce time spent manually duplicating or DE-duplicating contacts. This increases the reliability and integrity of the database by ensuring the accuracy of the data. It also combines number data from several different sources. All records are combined into one error-free record within the real-time database. This improves customer management with comprehensive views across multiple departments and databases. It also enables data-driven business decisions through enhanced customer profiling capabilities. It also improves business intelligence with data accuracy.

It has been seen that according to Global Data Quality Research 2016, 90 percent of financial institutions believe that increasing policies have driven the call for better data analysis and management. 99% of marketers want to turn data into information. Inaccurate data is undermining the ability to provide a great experience, as found by 76 percent of financial institutions. The data matching process can be done in batches and in real time. It can be done ad hoc when required. You can match the created records instantly and determine if it is a duplicate. Removed typos, nicknames, suffixes or acronyms and works on fancy name matching. Its use has been found in e-commerce, business mailing lists, computing, healthcare, online fraud detection, and the national census. Although data matching has its challenges and complications, as data comes from different sources, formats, age, errors, and unpredictability.

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