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Analytics Magazine

November/December 2012 Table of Contents

oil analytics big dataFEATURES

Images & videos: some really big data

By Fritz Venter and Andrew Stein
Sizing up the potential impact of prescriptive analytics driven by proliferation of images and video.

How big data is changing oil & gas industry

By Adam Farris
Advent of the “digital oil field” helps produce cost-effective energy while addressing safety and environmental concerns.

Distribution processing addresses uncertainty

By Sam L. Savage
Non-profit organization promotes standards for making rational, auditable calculations based on probability distributions.

Soft skills: art of effective communication

By Gary Cokins
How to achieve corporate buy-in during the Twitter-influenced, short-attention-span era.

Successfully operationalizing analytics

By James Taylor
A repeatable, efficient process for creating and effectively deploying predictive analytic models into production.

Sports analytics: basketball genomics

By William Cade
Evaluation of performance: evolution of the official box score reveals true on-court player values.

DEPARTMENTS

Inside Story
Executive Edge
Profit Center
Analyze This!
Forum
Conference Preview
Five-Minute Analyst
Thinking Analytically

Analytics Blog

Electoral College put to the math test


With the campaign two months behind us and the inauguration of Donald Trump two days away, isn’t it time to put the 2016 U.S. presidential election to bed and focus on issues that have yet to be decided? Of course not.




Headlines

Survey: Despite the hype, AI adoption still in early stages

The hype surrounding artificial intelligence (AI) is intense, but for most European businesses surveyed in a recent study by SAS, adoption of AI is still in the early or even planning stages. The good news is, the vast majority of organizations have begun to talk about AI, and a few have even begun to implement suitable projects. There is much optimism about the potential of AI, although fewer were confident that their organization was ready to exploit that potential. Read more →

Data professionals spend almost as much time prepping data as analyzing it

Nearly 40 percent of data professionals spend more than 20 hours per week accessing, blending and preparing data rather than performing actual analysis, according to a survey conducted by TMMData and the Digital Analytics Association. More than 800 DAA community members participated in the survey held earlier this year. The survey revealed that data access, quality and integration present persistent, interrelated roadblocks to efficient and confident analysis across industries. Read more →

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