The proliferation of electronic databases has allowed researchers and analysts to address complex questions by linking records from different sources. But merging data from multiple databases brings major integration issues. For example, company identifiers are often missing or erroneous and company names are written in multiple ways (e.g., IBM / International Business Machines / Int’l. Bus. Mach.). Legal endings of company names are also often written differently (e.g., Incorporated, Limited, Corporation / Inc., Ltd., Corp.) or missing altogether.
DataMatch Tool™ utilizes a powerful algorithm to link data from different sources easily and quickly. Fuzzy match technology is used to consider misspellings or possible spelling variations as valid matches. Three sets of libraries—noise, predefined matches and synonyms—can be customized to enhance the matching process. DataMatch Tool™ learns from previous matches, so the more you use it the more powerful it becomes. With this intelligent, customizable software, users in all fields can save considerable time and effort when merging data.
For more information, please visit : www.datamatchtool.com
Or contact us at : firstname.lastname@example.org