Post written by Chris S., BI Consultant at Ideaca. Read more about BI on his blog: The Outspoken Data Guy.
For example, if a marketer wanted to know everything about Chris Sorensen in a given day, chances are that most of that data is logged somewhere. What time I leave my house is available via my cell phone, my driving directions and speed are also available there as well. When I sit on the train I surf the web, send emails and organize my task list, all of these actions generate recorded data. What time I log into work, how often I am active on my computer and what I am do all day long is logged. Where I shop, what I buy (if I have a rewards card) is all tracked. My Facebook views, tweets all contain things that could be used to build a personality model of myself and my habits.
It is not really that big of stretch to think that this data could be used in one gigantic model to predict my next move and perhaps even entice me to make a different one. Maybe instead of stopping at Home Depot to get my painting supplies, an app could suggest the best place for me to go based on what I am doing. Sound like a stretch? Not really…Think about the labor that gold miners went through just to get a few stones. Now gigantic machinery does the same thing. The same thing is happening with Big Data where machines are able to gather information from a variety of sources and store large volumes of it in order to form predictive models. We are only at the tip of the iceberg but just imagine what the possibilities might be
0 comments:
Post a Comment