Brett Sheppard of Tableau provides three inaugural visualizations for Big Data Republic.
These visualizations tell the story of the increasing global acknowledgement of big-data, while illustrating research findings on big-data’s key business opportunities and innovators.
Visualization one features a comparison of Google searches for "big-data" and "business intelligence." Key events are featured on the meteoric rise of big-data, which prompted Big Data Republic’s launch.
Visualization two pulls Gartner intelligence on opportunities for big-data in a variety of different industries, color-coded and in an easy reference grid.
The third and final visualization references the MIT Sloan Management Review's research into ranking analytical innovators.
Brett Sheppard,
User Rank: Blogger 2/25/2013 | 9:05:14 PM
Re: Visualizing Big-Data Trends
The author notes "Gartner compared 11 industries across seven dimensions using data from Gartner forecasts, market statistics and input from dozens of vertical industry experts". The report does not cite a geographic breakdown.
Gartner, Lisa Kurt, Market Trends: Big Data Opportunities in Vertical Industries, 10 July 2012, ID Number G00235734
Edwin Willems,
User Rank: Bit Player 2/25/2013 | 8:22:12 PM
Re: Visualizing Big-Data Trends @Brett - very much like the 2nd chart! Has this been based on concrete research Gartner did, and if so, did they include companies globally or just US?
Edwin Willems,
User Rank: Bit Player 2/25/2013 | 8:18:41 PM
Re: BI No More @daniel - I'm not sure you can draw that conclusion based on the Google Search chart. Don't forget that the term 'Business Intelligence' was coined by Howard Dresner in 1989 while he was at Gartner, so it's around for almost 25 years now. I agree it doesn't sound as sexy as 'Big Data' does these days, but I'm not sure there are other terms that have ever been more over-hyped, maybe with the exception of cloud computing. I agree though on your point that it might mean different things to different people, but did you ever ask -randomly- to 10 people what Big Data means to them? I can recommend it... The most simple one I heard was that it's 'data that is too big to be managed by today's database management systems'. Not sure I can agree with that one... But besides that, what would you bet that the term Big Data is still around within 5 years?
Saul Sherry,
User Rank: Blogger 11/18/2012 | 8:16:04 AM
Re: BI No More I quite agree @Daniel. For me the most interesting elements are the aspects we don't even know we will discover yet.
"Free to include many heterogeneous data sources, many outside the corporate walls (e.g. social media). Free to include machine learning with its predictive elements. Free to break all boundaries with respect to volume and velocity."
There are great hypotheses out there, but now having the ability to mash all sorts of data together, with the right tools behind it will give us the chancer to see patterns we weren't even expecting.
BI No More I'm pleased that "Business Intelligence" is going out of favor. It was an amorphous term that meant different things to different people. At the time, my company was a Microsoft Certified Partner (no more), and when we'd go in to a client to propose a BI solution, it was hard to convince IT that BI was anything more than reporting. It also was a tough sell to introduce "data mining" to the equation. Plus, BI was all about internal data sources only.
Now with Big Data, the notion of business intelligence has been set free. Free to include many heterogeneous data sources, many outside the corporate walls (e.g. social media). Free to include machine learning with its predictive elements. Free to break all boundaries with respect to volume and velocity.
Big Data is a new world and I'm enjoying the role of Data Scientist, which by the way, was deemed the sexiest profession of the 21st century by the Harvard Business Review!
technetronic,
User Rank: Exabyte Executive 11/16/2012 | 4:24:50 PM
Re: About time Really excited for Tableau's infographics making a stronger appearance here. It's a "put your money where your mouth is" situation, I suppose.
The last graph on analytics boggles me, though: do so many executives really consider themselves analytics innovators? The infograph is unclear to me.
As for big data eclipsing business intelligence, I'm glad; it's about time. Business intelligence is extremely broad, whereas big data presumes robust data sets as the actual basis for BI.
Saul Sherry,
User Rank: Blogger 11/10/2012 | 5:47:15 AM
Re: About time I do love a good inforgraphic @Luke, but I take your point on "dumbing down". They act as more of a memory aid, while a solid visualization can be a tool to see the unknown. Take the second tab in this article's visualizations. Colourcoding areas from hot to cold makes it so quick to spot insight in areas stating that, say, media and goverment are the types of organizations to gather the most from harnessing variety in data - or that opportunities in wholesale trade are limited.
Luke,
User Rank: Bit Player 11/8/2012 | 6:30:45 AM
Re: About time Anything we can do to visualise this mass of data is terrific. Tableau looks like a great tool. The penetration of infographics and sites like information is beautiful, just shows the sheer appetite for easy comprehensible data. I suppose a risk is that infographic becomes the soundbite of the Big Data challenge and as a result perhaps 'dumb down' the big picture and potential....
Saul Sherry,
User Rank: Blogger 11/6/2012 | 4:22:11 AM
Re: Visualizing Nice examples there Will. The role of visualizers in the quest for more useful analytics is almost as important as the actual data crunching - that ability to communicate to the rest of the business (often up to the highest levels) is key.
I wonder where sports analytics is next to go. With opta stats there are already huge rafts of data available, and experiements underway with tracking of player movement during play... It would be interesting to see if there are metrics to measure in young football (soccer to our American cousins) potentials - weighing up their star (and as a result, monetary) potential.
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