Data matching

Data Matching is a type of process or technology used to identify and distinguish related records among different data sets or text documents. With data matching, organizations can be more accurate in their data accuracy processes.

Data matching can be used to correctly link records between two different data sets, identify duplicate or fraudulent records, detect new entities, and maintain database integrity. Thanks to its data processing automation, data matching eliminates time-consuming, manual processes.

Data matching is commonly used in information security, especially when companies verify customer identities and credentials or look for financial discrepancies. It can also be used to verify customer’s online activity and detect any security issues.

Data matching is useful for a variety of departments and industries that require accurate recordkeeping. This includes accounts payable and receivable, customer relationship management, online marketing, compliance, healthcare, and financial services.

The process typically requires three stages. The first stage involves comparison and conversion, in which distinct records or documents are compared against each other for similarities. The second stage involves the analysis of the comparison results to determine the accuracy, relevance, or completeness of the data. Finally, the data is matched and converted into a usable format.

Data matching involves counting, clustering, merging, linking, and labeling data. Counting entails breaking down data into groups or subgroups according to a set of rules. Clustering involves organizing related data records into more manageable chunks. Merging combines similar or identical records and links them to create one record. Linking allows data sets to be cross-referenced in order to better analyze the data. Lastly, labeling correctly matches associated data sets in order to differentiate between different data sets.

Data matching processes require specific detection criteria, such as name, address, email, or phone number. With highly accurate configuration, matching can provide more reliable and verifiable results.

Data matching is an incredibly important tool within organizations that require data accuracy. Thanks to this technology, these organizations can save time and resources, detect fraudulent records, and provide better customer identity protection.