Catch me if you can – Data Matching

data match

The data match compares two sets of data collected and is generally based on several scheduled cycles and algorithms that execute it. It is done to reject duplicate data and help obtain better search results. It provides you with a rich user experience and provides you with data cleansing, profiling, correspondence and data deduplication. This technique has made it very easy for different organizations to share information between different departments. This tool is famous for its use in government organizations, where they must maintain a fraud control to maintain the safety of public money. In a commercial context, this software can be used to identify and maintain a record of customers’ buying habits in order to build a better relationship with them. So, basically, the ultimate goal of this is to regulate and optimize the levels of accuracy in all areas of an organization.

The data matching software performs the registration link, the identification of the object and the resolution of the entity. Find connections between data elements. For example, the name and address, the software quickly removes all duplicate entries from the database. The powerful match engine identifies related records based on similarities or similar records that contain keyboard errors, or missing words, additional words, nicknames, or names of variants in different cultures. In the worst case, each record in a database must be compared with all other records in the other database. These tasks are costly in terms of calculation and difficult to achieve in a reasonable time.

The benefits of data matching are many, since they improve operation, efficiency and reduce DE deduplication time or DE manual duplication contacts. This increases the reliability and integrity of the database by guaranteeing the accuracy of the data. It also combines data from the number of different different sources. All records are combined in an error-free record in the database in real time. This improves the administration of the client with integral views in different departments and databases. It also enables business decisions based on data through improved customer profile creation capabilities. It also improves business intelligence with data accuracy.

It was found that, according to Global Data Quality Research 2016, 90% of financial institutions consider that the growing number of policies has led to improvements in the analysis and management of data. 99% of salespeople want to convert data into information. Inaccurate data undermine the ability to provide excellent experience, as 76% of financial institutions have found. The process of matching the data can be done both in batches and in real time. This can be done ad hoc if necessary. It can correspond to records created instantaneously and determines if it is a duplicate. It has eliminated typographical errors, nicknames, suffixes or acronyms and works on sophisticated searches of names. Its use has been found in electronic commerce, commercial mailing lists, IT, medical care, online fraud detection and the national census. Even if the data present challenges and complications, because the data come from sources, formats, age, different errors, as well as unpredictability.

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