I am not sure about the camapigns. I do know there's a Twitter Index current monitoring the buzz on Obama and Romney campaigns. Correlating the data agains the polls surveys is an early development, but it will certainly accelerate the need for a "measurement command center" in the future.
Beth, excellent point - it may also raise of a question of establishing a command center of analytics that fits the orchestration of periodic, huge events like the Olympics. At least within media where networks may cover an event with two separate organizations, as NBC has.
We'll see if tape delay's dismise is accelerated after the Olympics is done, and if analytic data is used in a defensive measure the way NBC did here.
Hi Pierre, first off -- I'm with you on Gabby Douglas. What a phenomenal accomplishment! Second, I suppose the real telling point will be what NBC learns from social listening for these Summer Games and how it applies that learning to the Winter Games coverage -- no?
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
Visual Analytics: Who Carries the Onus? 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
Dynamic data visualizations let analysts and business users interact with the data, changing variables or drilling down into data points, and see results in a flash. Advance your use of data visualization with tools that support features like auto-charting, explanatory pop-ups, and mobile sharing.
No doubt your enterprise is amassing loads of data for fact-based decision-making. Hand in hand with all that data comes big computational requirements. Can traditional IT infrastructure handle the increasing number and complexity of your analytical work? Probably not, which is why you need a backend rethink. Big data calls for a high-performance analytics infrastructure, as Fern Halper, a partner at the IT consulting and research firm, Hurwitz & Associates, discusses here.
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Whether working in major league sports, financial services, or healthcare, analytics, and data, professionals are checking out how visual analytics and high-performance technologies can help them optimize their environments, shrink their cycle times, and improve decision making, as attendees at the recent SAS Executive Briefing in New York share with us.