# Fuzzy-Match-Algorithm

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Category: Entertainment

## Presentation Description

Learn about the Vyakar's proprietary, cutting edge company name matching algorithm and usability.

## Presentation Transcript

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1 | P a g e DATA SHEET FUZZY MATCH ALGORITHM INTRODUCTION When it comes to matching incoming marketing leads against CRM accounts a simple string match may be sufficient for some people but is that enough What if you were told a thorough operation has to include taking out common legal company suffixes handling special characters and being able to identify acronyms and nicknames common in the business world. It also has to be able to recognize popular stock quotes identify what entities have undergone mergers or acquisitions and take into geographical sensitivity into account when matching leads. Wouldn’t that be much better VYAKAR’S FUZZY MATCH LOGIC Over the years Vyakar has developed a state-of-the-art fuzzy match algorithm that is not only fast and accurate but also flexible to fit different needs. It’s not a final formula behind the scenes Machine Learning also allows Vyakar to be able to improve that algorithm over time. Fuzzy Matching accuracy is achieved by hundreds of matching rules and thousands of data points. The following are the key areas where rules have been implemented: LEGAL SUFFIXES Not all companies have the same names or backgrounds. However company suffixes such as Inc. Corp. LLC and Ltd. etc. don’t serve much purpose when it comes to matching searches. Vyakar’s algorithm makes sure these suffixes are ignored. SPECIAL CHARACTERS Special characters like “” and “AND” “AT” and “" are practically the same. Vyakar’s algorithm is designed to ignore these as well as other special characters like commas periods etc. Since company names can come in other languages you should expect to encounter accented characters like “é” “ê” “ç” “ñ” and “à”. With Vyakar’s system items like these are controlled in such a way to produce desired results. ACRONYMS Are IBM I.B.M. and International Business Machines the same In Vyakar’s search algorithm they will be. It is able to identify popular acronyms with or without spaces with or without dots etc. Are you looking for Ingvar Kamprad Elmtaryd Agunnaryd That is actually shortened as IKEA. Dalsey Hillblom and Lynn is more popularly known as DHL just to name a few. POPULAR NAMES Not all big companies or businesses were previously known as they are called now. For example Quantum Computer Services is now called AOL AuctionWeb is now called eBay and the Marafuku Company is now called Nintendo. Vyakar’s algorithm will be able to recognize popular names and previous names companies went by. WEB DOMAIN Over the course of its operations a business may put up new websites and abandon old ones several times. It may even set up a domain to help direct customers to