We match company names. This is an age old requirement. We automated the process, and made it more intelligent.

We match company names. This is an age old requirement. We automated the process, and made it more intelligent. Our program is used by marketing analysts / data analysts. Matching contact list against account name has always been a challenge. A poorly matched list causes a big hit to your revenue. It is very crucial to match contact list against customer master account name because it enables you to do "account based marketing". Matching these is a herculean task. At present, it is done ...

We match company names. This is an age old requirement. We automated the process, and made it more intelligent. Our program is used by marketing analysts / data analysts. Matching contact list against account name has always been a challenge. A poorly matched list causes a big hit to your revenue. It is very crucial to match contact list against customer master account name because it enables you to do "account based marketing". Matching these is a herculean task. At present, it is done manually; therefore prone to several limitations. Issues are: 1) So many human errors. 2) Acquisitions are never matched (Eloqua never gets matched with Oracle) - because human matcher is not so knowledgeable 3) MS never gets matched to Microsoft (again depends on how aware the manual matcher is) 4) takes so much time - like few weeks to few months - depending on how large the files are. 5) lack of consistency..because every time a new person works on your matching project. Fuzzy Match Company Names solves all these problems.