Justin

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.

4 Comments

  • abd elaziz elouarak 11 years ago

    hi Justin.
    First of all i wanna to think you about your effort.
    The idea of presenting data in map seem very interesting and can reduce a cost of data management , but there are some points that i hope you can explain them to me.
    The first point is about the existence of a software which can deal with hundreds of terabytes of data size.
    Other point is how can we deal with data which hasn’t a geographic dimension.
    thank you

    • Justin 11 years ago

      Thanks for the comment! My short answers to your questions are (1) start smaller and (2) find the geographic dimension. Longer answers: (1) If you want to approach big data, start somewhere but not with everything all at once. If you try to wrangle “hundreds of terabytes” right out of the gate you’ll be overwhelmed and not get anywhere fast. I prefer an iterative approach whereby you start small, make progress quickly and build from there gradually. You don’t need specialized software if you start small. You can find the right software for managing huge volumes later and you’ll learn something about your requirements along the way. (2) If you’re in business and have customers, you have a geographic dimension. If you’re an organization of any type that involves people, you have a geographic dimension because each person lives, works, shops and travels somewhere. You just need to gather the data. If you want to focus on non-geographic data then you should find another domain expert…I can’t help too much. Not sure this is really what you were looking for but hopefully it helps a bit. Cheers, J.

  • Start Your Big Data Journey with a Map | Supply Chain Network Design 11 years ago

    […] wrote an interesting blog post suggesting that a great place to start a Big Data journey is to build a map.  He argued that most firms  and managers don’t have the resources or technical capability […]

  • Learning Python with my 4th Grader | Geographical Perspectives 10 years ago

    […] Perhaps for the same reasons, Python is becoming a leading programming environment for statistical computing. It may usurp the R language/environment because of greater flexibility and simplicity. The jury is still out but my money is on Python. I am also willing to bet SAS and SPSS will move toward endangered species status in the coming years. Since I teach statistics I want to be able to provide guidance for students who have the interest and inclination to pursue emerging careers in Big Data. […]

Leave a Reply to Start Your Big Data Journey with a Map | Supply Chain Network Design Cancel reply