SAS Voices

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Norm MarksJuly 28, 2015 0

Competing and disrupting with analytics in Automotive

SAS recently held the Detroit Automotive Analytics Executive Forum to bring together leaders from the Industry. We heard from an experienced group of leaders on the future of the automotive industry, best practices for analytics success, innovative retail analytics, customer experience analytics, the connected vehicle, and competing on analytics. Following

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Manufacturing

Analytics | Data Visualization

Leo SadovyJuly 28, 2015 2

Why build models?

We are all modelers. Whenever you plan, you are building a model. Whenever you imagine, you are building a model. When you create, write, paint or speak, you first build in your head a model of what you want to accomplish, and then fill in the details with words, movements

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Analytics

Alan Saldich, VP of Marketing at Cloudera

David TishgartJuly 27, 2015 0

Analytics and Hadoop partnering for success

In a complicated, fast-paced and connected world, you don’t succeed alone. SAS and Cloudera have a successful partnership that dates back several years. Our products are complementary and provide significant quantifiable value to customers who run them on the same cluster. Add Intel to the mix and you have a trio

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Analytics

Stuart RoseJuly 24, 2015 0

No more excuses.. Analytics IS a game changer

Good news...an analytics survey last year found that 72% of insurance executive agreed that analytics is the biggest game-changer in the next 2 years. Bad news...compared to other industries the adoption rates of analytics in the insurance has lagged other industries. To reverse this trend and help insurers travel down the

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Analytics | Machine Learning

David PopeJuly 22, 2015 0

Machine learning in action today

What's that productivity related quote by Charles Dickens? "My advice is never do tomorrow what you can do today." For years, machine learning has been written about and discussed widely with a focus on the benefits it will bring in the near future. But guess what? The future for machine learning

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Analytics | Fraud & Security Intelligence

Carl FarrellJuly 15, 2015 1

Cybersecurity and the doomsday case for analytics

Technology has brought the world a great deal of good, but the downside is that we’re increasingly vulnerable to some seriously scary stuff: Terrorists taking control of airplanes through the in-flight entertainment system. Governments breaking into secure systems and stealing identities. Thugs messing with the steering of self-driving cars. When

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Analytics

Ian JonesJuly 14, 2015 1

From downtime to upside with oilfield predictive maintenance

Dust off that old aphorism about an ounce of prevention. Oil companies applying analytics for predictive maintenance can see a substantial downtick in the unanticipated equipment repairs that quickly eat into an oil well’s profitability. Maintenance is far from a trivial concern in the oilfield. A pumping oil well is

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Analytics

Stuart RoseJuly 9, 2015 0

Help wanted

The insurance industry is heading for a crisis. Depending on which report you read the insurance industry is facing a shortfall in job vacancy from anything from 40,000 to nearly half million in the next few years. Baby boomers in specialized jobs like underwriters and claims adjusters are retiring and insurers

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Analytics

Russ CobbJuly 8, 2015 0

Surfing big waves

I just spent much of the past week watching and trying to ride waves on the North Carolina coast. Small waves, mind you, nothing spectacular and certainly nothing that you would consider edgy or life-altering. Nothing that big wave surfers like Laird Hamilton, Garrett McNamara and others of their substance

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Analytics | Data Management

Mark TorrJuly 7, 2015 2

What’s the future of analytics within the enterprise architecture?

What does the future of analytics look like in your organizations enterprise architecture? Does it include thinking about a two speed approach to analytics which includes both: An agile rapidly changing analytics platform for innovation (a lab) seperated from operations and broad enterprise audience usage A slowly moving systematic enterprise analytics platform (a factory)

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Blogs

Blogs

Analytics