The analytics of March basketball brackets

April 7, 2003 will go down in the history books for me. The streets of Syracuse, New York, were abuzz. I was a junior television major, and our men’s basketball team had just won its first NCAA basketball title. Our three-seed Orangemen had bested #2 Kansas in New Orleans, but the […]

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Use the right model to analyze library use

When it comes to library amenities, it’s tough to top those at North Carolina State University. The historic D. H. Hill Library on North Carolina State University’s campus boasts an ice cream shop that whips up sundaes and milkshakes with NC State’s own ice cream. But when the new James […]

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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 […]

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The Importance of Being a Data Scientist

This post is a nod to one of my favourite plays, The Importance of Being Earnest by Oscar Wilde. As the title ‘Data Scientist’ becomes more common, what can we gain about the importance of titles and labelling from this century old play? For those that haven't read it, the […]

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Statistics in the era of big data and the data scientist

Depending on whether you are a half-full or a half-empty kind of person, the "big data" revolution is either a tremendous windfall for the career of a statistician, or the makings of a real existential crisis. As with most things, it’s probably a bit of both. On the one hand, […]

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How to dilute the value of analytics

Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why […]

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Ask the statistician: Explain how statistics touch our everyday lives

So far in our Ask the Statistician blog and video series, we have heard responses from statisticians at the Analytics 2013 conference about: The many ways statistics benefit their organizations. The types of statistical analyses used to solve business issues. Best practices for explaining results.       How they put statistical […]

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Ask the Statistician: Can you share examples of success from your statistical analyses?

In my previous post in the Ask the Statistician interview series, we heard from statisticians at the Analytics 2013 conference discuss the how their statistical results are put into action within their organizations.  Now let’s learn more about their specific examples of success they have had utilizing these results. Check out […]

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Ask the Statistician: Putting statistical results into action

So far in this Ask the Statistician series, we heard statisticians at the Analytics 2013 conference  discuss the benefits of statistical analysis, the types of statistical techniques they use to solve their business problems and how they share their statistical results with non-technical audiences that need to use this information.  So, the next step […]

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Ask the Statistician: Best practices for explaining statistical results

In my last post in the Ask the Statistician series, we heard statisticians at the Analytics 2013 conference  discuss what types of statistical techniques they use to solve their business problems. Given that these concepts are technical in nature, I wanted to better understand some of their best practices for sharing […]

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