The Benefits of a High-Level Market Analysis
Several years ago, Infotech participated in a high-level market analysis for the state of West Virginia. The initial findings from that analysis launched an investigation that led to a $101.5 million settlement for the state.
In this new webinar, we review some of the details of that case while diving deeper into the benefits of a high-level market analysis. If your agency is interested in pursuing more data analysis in your state, this webinar is for you!
Chapters
00:24 Introductions
02:00 Reasons for High-Level Analysis
03:32 What is a High-Level Analysis
04:27 What’s Included
07:01 What it Involves
11:08 Advantages
13:20 West Virginia DOT Case Study
30:40 Guarantee
Speakers
Jim McClave, PhD.
As the Infotech founder and CEO, Dr. McClave has provided statistical and econometric consulting services and expert testimony for hundreds of clients, including the U.S. Department of Justice and many states’ attorneys general. Dr. McClave has been teaching market analysis since its inception. His experience spans a wide variety of industries, from highway construction to health care. He is the author of six leading textbooks on statistics developed during his 20-year academic career.
Jeff Lee Derrer, P.E., PMP, CMP
Mr. Derrer has more than 30 years of experience in transportation project management and engineering. He has been a Senior Consultant with Infotech since 2001, providing data analysis services to state transportation agencies. He previously worked for the North Carolina Department of Transportation as Head of the Contract Monitoring Section for more than 10 years, and for the Virginia Department of Transportation as Head of the Antitrust Section for four years. In those roles, he directed activities that analyzed contractor’s bids to ensure a competitive market place.
Kateryna Bondareva, PhD.
Dr. Kateryna Bondareva serves as Sr. Business Analyst with AASHTOWare Project Data Analytics™ SaaS module. Ms. Bondareva joined Infotech as a member of AASHTOWare Project Estimation™ team. In 2017, she joined the AASHTOWare Project Data Analytics SaaS team, where she handles a variety of tasks, including requirements gathering and analysis, design, testing and usability studies. Her primary areas of business expertise are data analytics, preconstruction, and estimation. Ms. Bondareva holds a PhD in Computer Science from the Donetsk National Technical University. Her scientific area of interest is parallel modeling and simulation of complex dynamic systems.
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