When Hoarded Data Turns Creepy
James M. Connolly 1/22/2015 18 comments
There's something strange about seeing 25-year-old data show up in a completely unexpected place, and you wonder who thought it was a good idea to save it.
Cloud Analytics & Questions of Trust
James M. Connolly 1/20/2015 6 comments
Could it be that cloud-based analytics has reached the point where almost half of IT and analytics professionals say cloud offerings are just as good as on-premises analytics?
NRF: A Peek Into What's in Store for You
James M. Connolly 1/9/2015 6 comments
Don't think about the NRF's Retail's Big Show next week as just being about retail. It will provide some signs of where where technology and big data analytics are leading all our industries.
It's a Great Time to Be an Analyst
Emmett Cox 1/7/2015 7 comments
The ability to visualize data -- its sources, its types, and relationships -- is now a core talent for analysts as they set out to design and build big-data applications.
Transformations: Personal & Organizational
Leo Sadovy 1/6/2015 1 comment
Any number of driving factors lead to transformation, whether personally or as an organization. You can be forced to change, or your transformation can be a more deliberate affair, part of a purposeful journey rather than a flight of necessity.
A2 Video Chat: About That Skills Update?
James M. Connolly 1/2/2015 4 comments
The big data skills gap is alive and well. So, maybe you can take advantage of some of the new -- or old -- educational programs that will lead you to that next great job. Start by checking out our video presentation on A2 next week.
David Wagner 12/24/2014 43 comments
Think Santa is magic? He is. But his analytics program is something we can actually aspire to ourselves.
Take an Inclusive View With Big Data Plans
James M. Connolly 12/19/2014 13 comments
A Gartner blog highlights a consideration -- call it a concern -- that all big-data analytics teams and their clients should keep in mind about including related and supporting departments in their initiatives.
Government data helps to illustrate the prime -- and not so prime -- locations for solar and wind power.
Visualization can make all the difference when it comes to data-driven decision making.
We need to better define mobile analytics and then focus on getting the true mobile apps to work the way they are supposed to.
So you want to be a data scientist. Understand why and how you want to make the move.
A series of dealings with wait staff and cashiers highlighted best and worst practices in customer loyalty programs.
Latest Archived Broadcast
Join author Jared Dean for a discussion about his book, Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners.
February 3rd 2pm EST Tuesday
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Enterprises are struggling through a major talent gap when it comes to data scientists.
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1/26/2015 11:01:09 AM
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for the Business and IT Communities
Executive forums with additional hands-on learning opportunities offered around the world
Each ideal for practitioners, Business leaders & senior executives
Winner announced December 9
December 11, 2 PM ET
December 8-12 | Ft. Lauderdale, FL
December 17, 2 PM ET
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2015 Visual Analytics Interactive RoadshowSAS(r) experts are coming to a city near you in a series of live, interactive workshops focused on SAS Visual Analytics, including how to prepare your data for VA, the integration of VA with Office Analytics and a Visual Statistics demo.
January 22: King of Prussia, PA
February 24: Austin, TX
March 26: Redwood City, CA
April 22: NYC, NY (1st of 2 stops)
May 13: Seattle, WA
June 18: Minneapolis, MN
July 21: Rockville, MD
August 18: Chicago, IL
September 24: Irvine, CA
October 9: Cary, NC (during SAS Championship)
October 21: NYC, NY (2nd of 2 stops)
November 17: Orlando, FL
December 8: Atlanta, GA
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
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