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Analytics
Paula Henderson 0
Practicalities of Analytics

This is a guest post from Jodi Blomberg, a Principal Technical Architect at SAS. She has over 12 years of experience in data mining and mathematical modeling, and has developed analytic models for many government agencies including child support enforcement, insurance fraud, intelligence led policing, supply chain logistics and adverse

Rick Wicklin 0
An improved simulation of card shuffling

Last week I presented the GSR algorithm, a statistical model of a riffle shuffle. In the model, a deck of n cards is split into two parts according to the binomial distribution. Each piece has roughly n/2 cards. Then cards are dropped from the two stacks according to the number

Learn SAS
Shelley Sessoms 0
Bookin’ It to Nashville

No, not for a country music recording deal. Trust me, no one wants to hear me sing…I can’t carry a tune in a bucket (but I can throw out some unusual “Southernisms”). I’m headed to Nashville, May 8-11, for the annual PharmaSUG conference. PharmaSUG is the Pharmaceutical Industry SAS® Users

Analytics
Chuck Ellstrom 0
The Two E's

Unless you’ve been living under a rock, you’ve heard about the budget problems running rampant across all levels of government. Federal, State and Local Governments are all facing historic budget shortfalls due to the economic crisis and decreased tax receipts. This has led to a much closer examination of services

Rick Wicklin 0
Funnel plots: An alternative to ranking

In a previous blog post, I showed how you can use simulation to construct confidence intervals for ranks. This idea (from a paper by E. Marshall and D. Spiegelhalter), enables you to display a graph that compares the performance of several institutions, where "institutions" can mean schools, companies, airlines, or

Learn SAS
Sandy Varner 0
The Power of the Backlist

In today’s changing environment the hype seems to focus on new, updated, latest release, newly developed, cutting edge and so on. With so many new SAS books to choose from, I thought it might be interesting to take a look at our most popular backlist titles (books that were published

Rick Wicklin 0
Booth Duty: More than Just Demos

Last week I was a SAS consultant. Oh, not a real consultant, but for two hours in the Support and Demo room I stood under the "Analytics" sign and in front of rollshades about SAS/STAT, SAS/QC, and SAS/IML. Customers can walk up and ask any question they want. And ask

Rick Wicklin 0
A statistical model of card shuffling

I recently returned from a five-day conference in Las Vegas. On the way there, I finally had time to read a classic statistical paper: Bayer and Diaconis (1992) describes how many shuffles are needed to randomize a deck of cards. Their famous result that it takes seven shuffles to randomize

Analytics
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Getting to the point of return on analytics

Linking business analytics to economic value is a hard problem. Despite all the smarts that get poured into models, it's hard to tie them to financial measures such as profitability. And, because of that, it's hard to justify investment in analytics. Need headcount? Sorry, try again. Need tools? Sorry, can't

Analytics | Data Management
Rachel Alt-Simmons 0
Companies are finding the most profitable growth opportunities

In this panel discussion, a diverse group of companies from different industries are finding profitable growth opportunities through analytics. We’re joined by: Jim Foreman, Director of Circulation Analytic, Staples Halina Karachuk, VP Innovation, AXA Equitable Life Barb Buettin, Director, CRM – Enterprise Information Management, Chico’s Nelle Schantz, Sr. Marketing Director,

Rick Wicklin 0
The sound of the Dow...in SAS

At the beginning of 2011, I heard about the Dow Piano, which was created by CNNMoney.com. The Dow Piano visualizes the performance of the Dow Jones industrial average in 2010 with a line plot, but also adds an auditory component. As Bård Edlund, Art Director at CNNMoney.com, said, The daily

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