Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.


  • Perry Solheim 10 years ago

    First, thanks for the analysis. Transparency would be very helpful, so I agree with your article. Now the fun part, alternative speculation. Could age diversification in the more densely populated areas drive some of what we see on the map? Perhaps also simply a systematic difference in salaries surrounding metro Denver. Maybe log salary before deflating by it. Makes interpretation harder but at least we could rule out an omitted correlation. My suspicion is based on seeing light green also in resort towns. I wonder if the premium zones relate to proximity to med services. Are there fewer doctors/clinics/hospitals in the Pueblo area? It could also just be the proximity to quality sloppers;-) All echos your call for transparency.

    • Justin 10 years ago

      Perry, thanks for your comments. I wondered about proximity to medical services but I don’t see how this drives health coverage expenses. Don’t people have to pay for their own transportation to and from a doctor’s office or hospital? Even if an ambulance is involved I would guess that costs might be partially offset by lower HR costs. I’m no expert on health care economics but insurance companies attempting to avoid dealing with the rural poor strikes me as a more likely reason for the rate bias. Perhaps a good accountant should download and play around with the numbers? Cheers, JH

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