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Analytics Magazine

November/December 2010: Table of Contents

business analyticsFeatures

The Analytics Journey

By Irv Lustig, Brenda Dietrich, Christer Johnson and Christopher Dziekan
An IBM view of the structured data analysis landscape: descriptive, predictive and prescriptive analytics.

Five myths of quant consulting

By David Lengacher
Caution before entering: Misconceptions abound in fascinating filed.

Predictive analytics in field service

By Scott Brown, Atanu Basu and Tim Worth
Practical ways to drive field service, looking forward.

Collections Analytics

By Vishal Ahuja and P.S.S Moorthy
How to levrage analytics to build collections into a competitive advantage.

Agility wins

By Douglas Samuelson
Military strategy studies indicate huge importance of rapidly adaptive decision-making.

Decision Analysis

By Don Buckshaw
Visualization and options continue to imp[rove along with Web-based integration, but a wish list of “wants and needs” remain unmet.

DEPARTMENTS

INSIDE STORY
PROFIT CENTER
ANALYZE THIS!
FORUM
MEETING PREVIEW
THINKING ANALYTICALLY
LAST WORD



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 →

UPCOMING ANALYTICS EVENTS

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Nov. 4-7, 2018, Phoenix

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Dec. 9-12, 2018, Gothenburg, Sweden

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Oct. 29 -30, 12 p.m.-5 p.m.


Applied AI & Machine Learning | Comprehensive
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The Analytics Clinic
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Nov. 8, 2018, 11 a.m. – 12:30 p.m.


Advancing the Analytics-Driven Organization
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