© Data Match Solutions 2011-2012. All rights reserved. Our mission We are committed to making  researchers’ and analysts’ lives simpler when it comes to collecting, cleaning and merging data. We strive to make powerful products that are easy to learn and use. We are attentive to the needs of our customers to constantly improve our products and services. Our products 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. Our main product, 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. DateMatch™ is designed to make exact or relative date matches. This add-in is useful for retrieving data close to a specific date. For instance, a researcher might want to measure the stock market reaction a few days or weeks before or after a company announcement such as a merger, or to retrieve data  from past or subsequent financial reports. DateMatch™ allows one to do so in just a few steps. DataCODE™ uses the core capabilities of DataMatch Tool™ to Clean, Organize and DEduplicate a list of items. The first feature—Clean—deletes all previously identified noise within the list. The second feature—Organize—gathers similar items together based on fuzzy matching. The last feature—Deduplicate—removes all duplicates to produce a list of unique entries. This refined list can then be used directly, or as an input to DataMatch Tool™. Our support services DataMatch Tool™ was designed with the end-user in mind. The software includes step-by-step help guides, as well as tutorials and FAQs on our website. We also offer online support usually within 24 hours. Our customers Faculty, students and analysts worldwide use DataMatch Tool™. Here is a partial list of their affiliations: North-America • Election Systems and Softwares, USA • Harvard Business School, USA • HEC Montréal, Canada • MaXintegration Technologies, Canada • University of California-Santa Barbara, USA • Université Laval, Canada • University of Missouri-St. Louis, USA • Washington University, USA Europe • Athens University of Economics and Business, Greece • EHESS, France • Groupe ESC Troyes, France • Humboldt University of Berlin, Germany • IESE, Spain • International Hellenic University, Greece • Rotterdam School of Management-Erasmus University, The Netherlands • WHU-Otto Beisheim School of Management, Germany ASIA • HKUST Business School, Hong Kong • Nanyang Business School, Singapore • University of Macau, Macao What our customers are saying about DataMatch Tool™ : Reviews Our distributor DataMatch Tool™ is distributed by Research Software, the distributor of leading research software such as EndNote™, Math Type™ and Reference Manager™: www.researchsoftware.com. Learn more Contact us to request a custom webinar at sales@datamatchsolutions.com or request a 14-day free trial at www.datamatchtool.com/demo We offer volume discounts and site licenses for university libraries and research centers. Claude Francoeur, MBA, Ph.D., CGA President - Data Match Solutions Associate Professor - HEC Montréal Site Map Data Match Solutions HOME CONTACT BUY NOW TUTORIALS FAQ FREE TRIAL REVIEWS PRODUCTS