The Genome

Identifying the genetic patterns of business

Adjacencies & Forces

Finding out what really affects your business

New Opportunities

Pinpointing growth areas or the best ways to react/change

Implementation

Mapping out a path to
what's next
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Jeff Frey, Data and Engine Architect

Frey serves as the data architect for Business Genome™, a high-impact approach to cross-industry insights and global collaboration. He designed the Business Genome™engine, an open-source repository containing a new genomic business taxonomy, overlaid on business successes, and categorized to bring a unique perspective on “How to Find Your Next.™” using cross-industry genomic/DNA mapping. By incorporating his insights gained from a research focus on genomics, and years of experience looking at corporate success from a technology standpoint; including business analysis, strategic data analysis, business metrics, and strategic marketing, Frey tailored the engine to the unique problems facing companies today.

Frey has a history of transforming data into strategic corporate opportunities. He brings more than ten years of experience as an analyst of both quantitative and qualitative information to his role as data architect and project leader for Business Genome™. Focusing primarily on nonprofit organizations, entrepreneurs, and small businesses, past clients include Rice University, Educause, The Episcopal Diocese of Texas, The USA Vineyard Association, The Institute of International Education, The Health Museum of Houston, Aveda, Fort Collins Solar Utilities, REMI Properties along with large corporate entities such as Boston Market, McDermott International, and AT&T Solutions.

Frey’s understanding of the world of technology comes from interaction with all areas of computers, software and the internet, including multi-processor instruction sets, enterprise application design, user interface design, application solution design, software development, social media and networking, bioengineering algorithms, natural language processing, neural networks, cased-based reasoning, and market simulations based on predictive modeling.

Examples