Mobile Analytics Form a Two-Way Street Between the Past and the Future

IT Connection

Summary Bullets:

  • There are great advantages to disseminating analytics smarts to mobile users such as sales persons.
  • Real innovation, however, comes when you combine that dissemination with the collection of data points.

I spent a few hours yesterday listening to a number of SAP ISV partners including ExpertIG, Rapid Consulting and Liquid Analytics demonstrate mobile software built to support the wholesale market.  I know, that doesn’t sound incredibly exciting.  Yet, long before the expiration of my admittedly short attention span, I was struck squarely by what was for me a stunning realization.  Big data should be as much about collecting data as it is about gleaning knowledge from that data.

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About fdnropsec

I have earned a Bachelor of Science in International Relations from the University of Houston where I also minored in International Business and Print Journalism. During my time in the journalism field I had the unique opportunity to meet and interview President George W. Bush and former Defense Secretary Robert Gates during the lead up to the Iraq war. Since then my studies have focused on predictive analytics in the areas of nuclear counter-terrorism, criminal intelligence analysis and foreign policy analysis in a freelance capacity. Currently, I am pursuing a Master of Arts in Intelligence Studies at American Military University. I am a contributing member of the Academy of Political Science, member of the National Military Intelligence Association, and am an International Gold Key Scholar. That said, I have designed this collective analytical effort to operationalize and fuse various analytic frameworks so as to generate a predictive model that will mitigate cognitive bias, frivolous speculation, and nonsensical character assaults, and ultimately deliver comprehensive quantifiable OSINT products containing sound and transparent analytic judgments to the search for Dylan Redwine deliverable through a custom Geographic Information System (GIS).

Posted on October 16, 2013, in Analysis tools. Bookmark the permalink. Leave a comment.

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