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Analytics Magazine

Table of Contents: July/August 2017

Dark dataFeatures

Shedding light on dark analytics

New business asset: Leveraging advanced technologies to explore unstructured and “dark” data reveals hidden insights.
By Nitin Mittal

Dark data: Two sides of same coin

Lost opportunity and security risk: Dark data can be tapped to generate more opportunities or remain in the dark, forever.
By Ganesh Moorthy

Surviving global terror

How businesses can use analytics to better track risks and mitigate the cost of damage, disruption and cyber attacks.
By Virág Fórizs and Shane Latchman

Agriculture analytics: Farmland value

Along with increased productivity and profits, data analytics can produce more precise, stable and higher agriculture land values.
By Joseph Byrum

Soft skills: Data storytelling

No more ‘criticism sandwiches’: New framework for garnering feedback and connecting with the people who matter most.
By Esther Choy

The universe of health data things

IoT and health apps: monetizing the value of ‘data as data’ via real-time biometrics and associated mobile phone apps.
By Aaron Lai

Departments

Inside Story
Executive Edge
Analyze This!
Healthcare Analytics
Newsmakers
INFORMS Annual Meeting
Conference preview: Healthcare
Winter Simulation Conference
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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