SBIR/STTR Research Award

SBIR Phase I: Social Dynamics of Sales in a Global Village

Award identifier 16eec58d96432a4c9ed42ad0ac9a59652f299b5de52f3199538828cc1ff094aaAwarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2004

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Spoke Software
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase I research project proposes to enable company's existing software to extend concepts from social network theory and computer science to create a new data type -the relationship master network. New data types (e.g., customer master) have, historically, solved business problems and created new enterprise software segments (e.g., CRM). While the company's existing software's current focus is on using this relationship to help enterprise sales teams make the appropriate contacts faster and more efficiently (by answering "who knows who?"), this technology supports any referral-based process (e.g., finding jobs). In particular, it only connects parties with mutual interests (e.g., employers and job seekers). Eliminating discovery costs makes it much easier to gain insight into a person or organization - thereby bringing the social dynamics of a village up to global scale. This project will develop a way to prototype components that are significantly more complex than existing products can currently prototype. If successful this project will develop methods, using information in the relationship network, to (1) reconcile the multiple records (each with sparse data) which appear to describe different people or organizations to a record for a single person or organization and (2) identify and extract information of relevance (e.g., biographical information on customers) from the web.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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