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CHN Analytics

Since 2015, we have helped our clients see what's coming.

CHN Analytics provides world class technology forecasting services by leveraging sophisticated data mining and predictive analysis in tandem with industry expertise of experienced in-house researchers. This combination of deep industry knowledge, coupled with the reach into over 100 million scientific and technical documents, creates a powerful and competitively differentiated solution for clients who are trying to make sense of where the next big disruption in the market will originate.

Five years in the making, Dr. Hughes has developed a predictive analytics tool that effectively can forecast industry trends in a manner that will put the user years ahead of its competitors. It consists of a database mining tool embedded with artificial intelligence capabilities and an incredibly sophisticated set of algorithms. This tool is able to capture and sift through the hundreds of millions of documents sourced from all over the world. Specific key words (technologies/competitors/industries) can be run through our data-processing tools, producing a custom data set that not only says where that technology/company/industry has been but also, where it is going.

Stephanie Hughes, Ph.D.

Stephanie has spent the bulk of her professional experience in the area of strategy and competitive intelligence. She is a tenured faculty member with an expertise in Competitive Strategy and has spent the past 16 years running CHN Analytics, a boutique competitive intelligence firm managing projects in the competitive and market intelligence areas on behalf of clients with global market portfolios. She has published articles in the areas of strategy, competitive intelligence and risk mitigation and is a serial entrepreneur having launched or co-founded 5 companies. Stephanie currently serves as an Associate Professor of Strategy at Northern Kentucky University. Stephanie received her BS in Marketing and an MBA in International Business from St. Joseph’s University in Philadelphia, PA. She received her Ph.D. in International Business and Strategic Management at Temple University in Philadelphia, PA.

Richard Hughes, Ph.D.

Richard is co-founder of CHN Analytics, a next generation technology landscaping process serving open innovation environments, and a Professor of Physics at The Ohio State University, where he has accumulated over 450 publications in the fields of experimental particle and astro-particle physics. His background encompasses high speed digital electronics, field programmable gate array firmware, and the modeling and analysis of complex systems. Richard has extensive expertise in data analytics, including the design and use of artificial neural networks for pattern recognition, as well as natural language and image processing, and a variety of deep learning applications. Richard was co-leader of the Online Charged Particle Tracker at the CDF experiment at the Fermilab Tevatron Collider in Batavia, IL, and the software leader of the Onboard Science Software currently in use on the Fermi Gamma Ray Space Telescope. Richard is also a Fellow of the American Physical Society. Richard received his BS in Electrical Engineering and a Ph.D. in Physics from the University of Pennsylvania.

Identify

By combining hundreds of millions of documents generated from billions of data points, we help you identify the emerging technologies that will define the business of the future.

Understand

We use global data sources but can also incorporate custom data sets for a more complete and tailored analysis.

Predict

Proprietary algorithms allow us to uncover unique insights into these technologies and predict their path to full-scale commercialization.

Identify

By combining hundreds of millions of documents generated from billions of data points, we help you identify the emerging technologies that will define the business of the future.

Understand

We use global data sources but can also incorporate custom data sets for a more complete and tailored analysis.

Predict

Proprietary algorithms allow us to uncover unique insights into these technologies and predict their path to full-scale commercialization.

There's much more to discuss.
Let's talk.

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