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The Performance Perspectives Blog: Speaking of supermodels...
Delaney Turner 270002T14M firstname.lastname@example.org | | Tags:  data_visualization business_intelligence dashboards cognos
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Five fun things for your Friday afternoon...
1. It's March: Let the (Stats) Madness Begin! (This contribution from my colleague Tim Powers over at SPSS)
March is a fun time of year. The days are longer, the weather is warmer, and the NCAA men's basketball tournament distracts thousands from their jobs.
On Wednesday, the Wall Street Journal ran "The Art of Upsetology," which discussed their analysis of the 64 teams' performance in two dozen categories -- or their Key Performance Predictors (KPPs). From this data, they were able to better understand their adva
Their analysis is proving to be pretty good.
With everyone looking for a competitive edge - whether in the brackets, or more importantly, in business - the answer is as simple as combing through piles of data to find those KPPs that help organizations successfully predict what will happen next...now.
That's why IBM is betting big on predictive analytics technology.
IBM is helping organizations across all industries better understand their customers' (and constituents', patients', employees') beliefs, preferences, opinions and behavior by tapping into all of the interconnected streams of data - inside and outside the enterprise walls.
But similar to what the WSJ did, you don't have to integrate and analyze all the data an organization owns. Predictive analytics will tell you which of the 15 to 20 of those 1,000 variables you have about a customer are the most relevant. Those KPPs then help guide any organization to build an amazing level of intimacy and knowledge, and determine how a specific customer is likely to behave at a precise moment in time.
Or, determine when a part might fail in a car. Or, the right time and conditions to perform surgery. Or, when a crime will occur in a specific part of town.
Or, what NCAA team might pull off the big upset.
Yesterday, the WSJ successfully predicted that Murray State, Old Dominion would win...and San Diego State would fall.
Next year, I'm using predictive analytics to help me with my bracket.
2. It's been a beautiful week for data visualization fans
Thanks to Fast Comp
What’s remarkable to me is that they’re all done by hand, including this chart on rainfall.
This year the Census Bureau is spending $333 million on marketing, with good reason: the picture that emerges, writes Fast Company’s Cliff Kuang, will shape the country for a decade, including deciding how congressional seats are apportioned and how federal dollars are distributed. Have you filled out yours yet?
3. We’re Tumbling!
If only to help keep a running tab on the daily deluge of data-related news, I’ve created a business analytics blog over on Tumblr. Think of it as the things I’d love to blog about, if only I had the time.
4. Free book chapter from the Harvard Business Review!
Your first name, last name and email are all they're asking in exchange for a free chapter from Andrew McAfee's new book on Enterprise 2.0. My copy is waiting impatiently on my desktop. Andrew has an amazing blog that examines the intersection technology and society. Follow him on twitter or get your free chapter here.
5. Finally, speaking of supermodels...
On Wednesday, I wrote about how dashboards were the supermodels of business intelligence. Now, we have an actual supermodel. In our newest episode of BI Radio, Kathy Ireland (yes, that Kathy Ireland) talks to our own Technology Soup commentator and CTO Don Campbell. Kathy and Don met via Twitter and here, she talks about her technology-fueled transition from the pages of Sports Illustrated to billion-dollar businesswoman.
This episode focuses on business analytics for retail, and in addition to our Kathy Ireland segment there’s some great insights on data integration from Creativity Inc. and on satisfying the smarter consumer from our own Patricia Waldron. Insight in aisle six!
That's it for now, folks. See you on Monday. As always, feel free to follow me on Twitter.