I come from a background of quantitative social science by scientific training - used to think of myself as an applied or pragmatic statistician. In recent year

I come from a background of quantitative social science by scientific training - used to think of myself as an applied or pragmatic statistician. In recent years I have added database skills, text mining, taxonomies and old school rules-based automated indexing - then I taught myself web programming for the presentation layer along with some combination of data and digital maps - when I put that all together it certainly feels like a lot more than when I was just a practicing applied statistician. I gave a presentation to some CIOs a couple of weeks ago. The following is my current definition of Data Science - though I will admit it has an engineering flavor as well. "Multi-disciplinary knowledge, methods and skills for building systems that acquire, manage and analyze data to deliver insight and automate quantitative analyses like segmentation, classification and prediction in support of real-time business processes." Michael Swenson [2015 working definition of data science]