• Steve Miller

    Defining Data Scientists & Their Tools

    Thursday, October 30, 2014 - 11:00
    My thoughts of the day involve reactions to two blog entries. The first is titled, “Data Scientists Must Also Be Research Methodology Scientists." The second is "SAS vs. R (vs. Python) – which tool should I learn?" Here's my take on both. The first, cited by Alex Liu from Research Methods and Data Science, references a blog posted by Informatics Professor Bill Hersh of the Oregon Health and Science University. While Hersh is a big... [more]
  • Steve Miller

    Pentaho, Cloudera Executives See Bigger Data Opportunities

    Wednesday, October 22, 2014 - 09:00
    I had the opportunity to spend an hour on a call with Pentaho CEO Quentin Gallivan and Cloudera Chief Strategy Officer Mike Olson immediately following their first day keynotes at Pentaho World 2014. [more]
  • pentaho analyzer image

    Parent-Child Hierarchies with Abnormal Genealogy

    Wednesday, October 15, 2014 - 13:45
    I’m a huge user of Mondrian, the OLAP engine behind Pentaho and Saiku, but there are times when it doesn’t do what I need it to, or exactly what I expect it to. Take this special case I call “Abnormal Genealogy.” [more]
  • Steve Miller

    data.table University

    Tuesday, October 14, 2014 - 13:45
    I've been spending quite a bit of time lately working with the data.table package in R. [more]
  • Steve Miller

    Freaky Data Science

    Friday, September 26, 2014 - 11:00
    Once again, Steve's blog is at the top of the most read blogs on Information Management. In this article, Steve shares his latest thoughts on what it means for data scientists to "Think Like Freak." [more]
  • Steve Miller

    What is Data Science – Again?

    Monday, September 15, 2014 - 08:15
    One of my colleagues recently asked if I'd do him a favor and discuss opportunities with a “data scientist” friend of his. I agreed, and the friend and I had a nice discussion about his insurance/risk modeling background. Over the years, he's done interesting work combining knowledge of the industry with SPSS predictive models, supported by the data engineering capabilities of his company's IT department. In the end, though, I confided to my colleague that... [more]
  • Steve Miller

    A Spark for Analytics

    Friday, August 22, 2014 - 05:00
    A couple of months ago, one of my partners sent me a link to an interesting blog post by Cloudera Board Chairman and Chief Strategy Officer, Mike Olson. Olson's article had to do with the emergence of Apache Spark as the preferred analytics development platform for Hadoop. Olson opines, “What the Hadoop ecosystem needs is a successor system that is more powerful, more flexible and more real-time than MapReduce. While not every current (or maybe... [more]
  • Steve Miller

    Data Science and Computational Public Policy at the UofC

    Tuesday, August 12, 2014 - 17:00
    Last Fall, I ran across a headline in one of the LinkedIn analytics groups I subscribe to that prompted a double take. It read something like “Data Science at the University of Chicago.” At first I thought it must be some new university astrophysics grant. Or perhaps economics department or B-school funding. Data science per se seemed a bit pedestrian for the UofC. Turns out I was wrong. The University of Chicago is indeed making... [more]
  • Steve Miller

    Evidence-Based Policy-Making or Policy-Based Evidence-Making?

    Tuesday, August 5, 2014 - 05:00
    My wife and I recently enjoyed a nice evening in the neighborhood with six couples we've known since our college daughters' kindergarten days. The girls are off in many different directions now, and we don't get to see each other as much as we used to, so it was especially fun to catch up and reminisce. As is the custom for at least a portion of such events, the men gather in the family room... [more]
  • Steve Miller

    Medicare Data, SAS, WPS and R, Part 1

    Monday, July 28, 2014 - 17:15
    I've recently written on Medicare utilization data that's been made available to the public for analysis. Along with the csv file, the Centers for Medicare and Medicaid Services (CMS) provide a text script housing the SAS “infile” code to load the csv into a SAS data set for further analysis. A newsletter from SAS has led me into deeper involvement with Medicare data. Under Books & Training is mentioned a new monograph entitled “SAS Programming... [more]


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