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From the Director’s Desk Beyond Big Data By Dave Micciche For the past 30 days or so, our development team has been working on creating data visualization tools for our learning portal. My part in this process has been to interview some of our customers to help determine what types of reports would be the most helpful. I must confess, at this point, the prospect of sitting through another meeting about columns and rows or pie charts and bar graphs makes me shiver - I am simply tired of talking about reporting. Quite frankly, I can’t believe that organizations still put such an emphasis on “user activity” and “course views.” It’s shocking to me that employee reviews often reward people for more time spent learning. Are activity spreadsheets and quiz results actually influencing whether or not someone gets a raise? Has Human Resources taken over the world, or are we still in middle school? 4 and complex than ever. But the good news is that analytics are simpler and more powerful than ever, too. Organizations need to stop reporting and start analyzing because hiding in the midst of all of that data are gems like: Who are the most productive users? Which groups have the most billable hours? What concepts do we least understand? How many licks does it take to get to the center of a Tootsie Pop? and much more. Strength in Analytics Good analytics help organizations identify strengths and weaknesses instantly so they can take immediate action. Recognizing trends across teams, projects and even an entire enterprise means that the right content gets to the right people at the right time. It also means that no one needs to take an entire course (and forget most of it) to “prove” that they are learning. Streamline Learning Effectiveness Finding the answers to questions about learning effectiveness should be as easy as asking a smart It’s 2016, device for directions - imagine being able to identify and software your knowledge gaps in seconds. Think about how is more insanely productive we all would be if we never had powerful to read something that we already know or watch a video about a feature that we will never use.