What we do:Implied Intelligence, LLC has developed business
databases in multiple countries/markets (approximately 50). In the US as
an example, our database consists of approximately 8.7 million business
records, each containing home-page URL; address; keywords representing
the company's products and/or services; and contact information. We also
have developed chain/branch/franchise location data, and we offer
enriched fields such as opening hours. We update every record and
attribute in our databases monthly and we are generating approximately
240,000 new US records per month. One additional point: we have
consistently found that when comparing our data to other databases,
approximately 25-30% of our records represent entirely new businesses
(i.e. records that are not contained in the databases of our clients).
All of our data has been exclusively developed and refined by
intelligent web-based mining and extraction techniques using our
expertise in the domain of computational linguistics.In addition
to our existing web-based data, we also offer data mining/extraction
services relative to validating, updating, and enriching existing data
elements held within a database of company profiles. Another service
Implied Intelligence provides is to validate and append SIC codes and/or
other classifications/category heading to records. This is accomplished
using a couple of techniques (1. analysis of the semantic content
contained in a company name; and 2. using keywords extracted from
company home pages).Finally, apart from our Web-extracted
business data which typically consists of business name, address,
telephone, category and URL, we also extract company and contact
information from social media sites. This data also contains fields such
as date of birth, number of friends, list of friends, occupation,
hobbies, previous residence and several more.What makes us unique:What we see as unique selling points is the combination of our linguistic and text-mining background, very large data resources and novel techniques to develop and maintain extraction algorithms. It is really the combination of having a large-scale database of high quality global websites (just business homepages, no spam), ways of rapidly extracting information out of these sites, large semantic resources and dictionaries in many languages, and finally experience and expertise in data aggregation and cleansing that creates our USPs. |
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