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Analytics Magazine

November/December 2016: Table of Contents

analytics of crowdsourcingFEATURES

Putin vs. Western analysts

Russia’s new approach to extending its influence necessitates new
approaches to assessment.
By Douglas Samuelson

Making analytics work through practical project management

Making analytics work: Why consistently delivering value requires
effective project management.
By Erick Wikum

Crowdsourcing – Using the crowd: curated vs. unknown

Using the crowd: When to use a traditional crowdsourcing model
and when to use an alternative.
By Ben Christensen

Decision Analysis Survey

Past, present and future of dynamic software emphasizes
continuous improvement of analytics tool.
By Samantha Oleson

Data Lakes: The biggest big data challenges

Why half of big data projects fail: Don’t overlook the key role
data lakes play in successful big data strategy.
By Prashant Tyagi and Haluk Demirkan

Analytics in Action: The sport business analytics process

Book excerpt: “Sport Business Analytics: Using Data to Increase
Revenue and Improve Operational Efficiency.”
By C. Keith Harrison and Scott Bukstein

DEPARTMENTS

Inside Story
Executive Edge
Analyze This!
Healthcare Analytics
News & Notes
Forum
Conference Preview
Five-Minute Analyst
Thinking Analytically

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Headlines

Fighting terrorists online: Identifying extremists before they post content

New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content. The research, “Finding Extremists in Online Social Networks,” which was recently published in the INFORMS journal Operations Research, was conducted by Tauhid Zaman of the MIT, Lt. Col. Christopher E. Marks of the U.S. Army and Jytte Klausen of Brandeis University. Read more →

Syrian conflict yields model for attrition dynamics in multilateral war

Based on their study of the Syrian Civil War that’s been raging since 2011, three researchers created a predictive model for multilateral war called the Lanchester multiduel. Unless there is a player so strong it can guarantee a win regardless of what others do, the likely outcome of multilateral war is a gradual stalemate that culminates in the mutual annihilation of all players, according to the model. Read more →

SAS, Samford University team up to generate sports analytics talent

Sports teams try to squeeze out every last bit of talent to gain a competitive advantage on the field. That’s also true in college athletic departments and professional team offices, where entire departments devoted to analyzing data hunt for sports analytics experts that can give them an edge in a game, in the stands and beyond. To create this talent, analytics company SAS will collaborate with the Samford University Center for Sports Analytics to support teaching, learning and research in all areas where analytics affects sports, including fan engagement, sponsorship, player tracking, sports medicine, sports media and operations. Read more →

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