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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

Challenges facing supply chain execs: leadership, labor, legacy technology

While most companies recognize the value of a digitally enabled supply chain – empowered by new technologies like artificial intelligence, blockchain, big data and analytics – many chief supply chain officers (CSCOs) are not leveraging their C-suite counterparts to help reinvent the supply chain function and transform it into an engine of new growth models and customer experiences, according to new research from Accenture. Read more →

Data Science Bowl: Using AI to accelerate life-saving medical research

Imagine unleashing the power of artificial intelligence to automate a critical component of biomedical research, expediting life-saving research in the treatment of almost every disease from rare disorders to the common cold. This could soon be a reality, thanks to the fourth Data Science Bowl, a 90-day competition in which, for the first time, participants trained deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup – and without human intervention. Read more →

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