I’m sensing a theme as I look over my posts on this blog from the last year. The top five posts give you a good taste of what we were thinking about as an industry this year:
- Is big data over hyped?
- What kind of big data problem do you have?
- What is a data scientist? And do you really need one?
- SAS = analytics. Analytics = hot.
- Why would you want to visualize 5 billion rows of data?
To summarize: big data, big data, data science, big analytics, and big data visualization.
My goal in writing about these topics was to pull away from the industry hype and offer some real definitions and explanations for what these trends mean for your business.
If you’ve been reading along, did I succeed? Are you bought into the idea of finding real, forward-looking answers in your new big data sources?
Have we talked enough, or are we ready to get going in 2013? Once we make it through the holidays and survive the doomsday predictions, are you ready to visualize your big data?
This quote from a new visual analytics user at SAS really sums up the benefits: “You can’t look through five-and-a-half million lines of data and make sense of anything. But you can with Visual Analytics.”
Or, how about this one from XL Group VP Kimberly Holmes: "Visual analytics will inspire more questions than we ever would have asked before."
Join me here next year, and we’ll talk more about the types of questions you should be asking, and the types of answers you’re getting – from your big data.