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Analytics Magazine

May/June 2012 Table of Contents

business analyticsFEATURES

Why large, once-successful companies fail

By Gary Cokins
The reasons are numerous, but the world’s problems are more complex than ever, creating the need for analytics.

Actionable Analytics

By Krishna Rupanagunta, Meena Anantha Padmanabhan and Vinay Mony
How to convert thought into action and bridge the gap between analytics creation and consumption.

Sponsored search advertising

By Patrick Quinn, Michel Gamache and Sandrine Paroz
How statistical and optimization methods help advertisers manage their Internet campaigns more efficiently.

On the road to innovation

By Janice Partyka and Randolph Hall
Survey of vehicle routing software reveals that fierce competition produces creative solutions.

Integrated sentiment analysis

By Fiona McNeill
Text analytics, V2: Powerful technique hears much more than the voice of the customer.

DEPARTMENTS

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

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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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