SAS Voices

Analytics

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

Analytics

Leo SadovyFebruary 24, 2015 0

Charles (Dickens and Darwin) and continuous improvement

"You show me a successful complex system, and I will show you a system that has evolved through trial and error." ~ Tim Harford TED Talk link: http://www.ted.com/talks/tim_harford Karl Marx died thinking that the first communist revolution would occur in Great Britain, driven by the long hours and unsafe

English

Analytics | Data Management

Craig RubendallFebruary 19, 2015 2

Why SAS joined the Open Data Platform (ODP) initiative

As the point person for SAS joining the new Open Data Platform (ODP) initiative, I want to make it clear why SAS is involved with ODP, and why we think it’s important to our customers, and the Hadoop and big data ecosystem as a whole. SAS is not in it to

English

Analytics

David PopeFebruary 19, 2015 0

If it's not broken, why fix (or change) it?

How many of us have heard or even said the phrase, "If it's not broke, don't fix it." While on rare occasions this may be the correct approach, it is a statement that stops innovation and creativity in its tracks. You might as well say, "Because we've always done it that

English

Analytics | Customer Intelligence

Alan LipsonFebruary 12, 2015 0

Valentine’s Day: It’s not all about flowers and chocolate

Cupid is bearing down on me again, and I’m still only thinking about what gifts to give my wife and daughter for Valentine’s Day. At this point, I’m hoping for divine inspiration. Based on holiday shopping research we conducted in November, I’ve learned that the gifts women expect to receive

English

Retail

Analytics | Internet of Things

Bryan SaundersFebruary 3, 2015 3

Event stream processing: Do you need it?

Staying competitive in a big data world means working fast and making decisions even faster. You need to assess conditions, approve access, stop transactions and reroute activities quickly so you can seize opportunities or prevent problems. With increasing data volumes from the Internet of Things (Cisco predicts that fifty billion

English

Analytics | Data Management | Internet of Things

Leo SadovyJanuary 27, 2015 0

Creating value on the IoT – It ain’t about you

The Internet of Things is going to be driven by innovative business models as much as by innovative technology. In order to ground the following discussion, I found it helpful to create this visual depiction of the IoT that defines and distinguishes the key elements that enter into these business models.

English

Analytics | Internet of Things

Mike HitmarJanuary 26, 2015 0

The intersection of the Internet of Things and manufacturing

Recently, I had the opportunity to talk with James Haight of Blue Hill Research regarding the Internet of Things and how it is and will impact manufacturers. We also dipped our toes into other topics, including text analytics and the interesting combination of all these trends. The conversation was captured

English

Manufacturing

Analytics | Internet of Things

Bryan SaundersJanuary 26, 2015 0

Getting started with equipment monitoring!

By now, we have all heard about the Internet of Things (IoT), or the Industrial Internet. Across industries, organizations are attempting to instrument and measure all critical business systems and assets in an effort to drive improved production and service delivery. It is estimated that by 2020, companies will spend

English

Manufacturing

Analytics | Work & Life at SAS

Steve PolilliJanuary 20, 2015 0

2014 media coverage explores who uses SAS and how

It’s that time of year again when we look back and consider how accurately and extensively the SAS story was covered in the media over the past year. It’s not always a simple or predictable story, but it is usually interesting. Consider some of these threads: How did companies or

English

Analytics

Leo SadovyJanuary 13, 2015 0

Diagnosis: Your data is not “normal”

“Let’s assume a normal distribution …” Ugh! That was your first mistake. Why do we make this assumption? It can’t be because we want to be able to mentally compute standard deviations, because we can’t and don’t it that way in practice. No, we assume a normal distribution to simplify

English

Manufacturing

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Analytics