Collective[i] Socialized Business Intelligence Network for Marketing

NEW YORK, Feb. 9, 2012 /PRNewswire/ - After years in development and beta testing, Collective[i] (www.collectivei.com) has announced availability of the industry's first business intelligence network that enables executives to easily collaborate in the analysis of massive sets of business and marketing information.

Collective[i] is a SaaS solution designed to leverage Big Data resources, providing collaborative analysis and decision-making support to marketing and business executives. Just as Salesforce.com provided a network to manage sales operations, or as Facebook did with personal relationships, Collective[i] hosts the industry's first "knowledge network," automating the work associated with analyzing Big Data and socializing knowledge and discussion throughout an enterprise. Collective[i] delivers analyses for immediate use by any public or private enterprise, while avoiding the lengthy and costly development efforts required with home-grown or enterprise business intelligence systems, such as those created by SAP or IBM.

Collective[i] was founded by Heidi Messer, Stephen Messer and Tad Martin, marketing veterans with track records of successful technology innovation. The Messers founded LinkShare Corporation, where they pioneered the fields of affiliate and performance-based online marketing, operating the company until its sale in 2005 for $425 million to Rakuten. Mr. Martin was one of the first senior executives at online retailer Overstock.com; as head of operations he oversaw the company's growth from $70 million in revenue to an $800 million NASDAQ-listed company.

Collective[i] analyses put business information into context to uncover why things happened in the past with an eye toward what will happen in the future. Because Collective[i] standardizes and unifies data from existing tools, it can easily integrate macroeconomic information including weather, unemployment and consumer confidence with company-specific data collected across traditional and digital media channels to produce enterprise quality business intelligence. Furthermore, Collective[i]'s standardized data model also supports business partnerships among different companies by enabling a seamless exchange of knowledge.

Read more.