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The analytics are amazing and certainly pave the way for more "predictive product placement".  I think Joe is asking all of the right question and the first company to really tie it all together will be head and shoulders above the competition.  I really want to use these insights on the used side of the business with repair / replace / remain (R^3) analytics for vehicle resale.  Driving to the heart of, did we need to paint that bumper to get the sale or could we have left it alone?  Unfortunately, no one aggregates this data. but it could really help dealers drive margin and I've worked to build local decision guidelines but would love to put predictive analytics into play.  That would drive actionable decisions by taking the human factor out of the RO writing and margin bargaining.