Search Results: Visual Analytics (1746)

Leo Sadovy 0
Surfing the disturbance

The future of business is the martial arts CEO, the jujitsu strategist.  Far too many organizations approach business with an American football mentality, complete with scripted plays, huddles and time outs, but the real world isn’t quite so convenient and accommodating.  The real business world is 7x24 with no time outs

Analytics
Georgia Mariani 0
Best practice #5: Optimize reporting processes

We are half way through my blog series counting to 10 best practices for information management, reporting and analytics. To recap, we have learned the importance of: Securing executive sponsorship. Identifying and involving stakeholders early and assessing their unique needs. Identifying and integrating data sources. Managing user expectations proactively. This

Alison Bolen 0
Six benefits that big data can bring to retailers

In the last week, I have interviewed four retail executives about their predictions for big data and high-performance analytics in the retail industry. I hope to publish their thoughts here in the next few weeks, but in the meantime, here are six concrete benefits that big data can bring to retailers, if

Mike Gilliland 0
Forecasting fashion apparel (Part 2)

Have you noticed the annoying stock art they put on The BFD blog header? All I can think of is "If those idiots only used SAS Forecast Server, they wouldn't have to draw graphs all over their window panes just to do forecasting." It must really p.o. the housekeeping staff at that

Analytics | SAS Events
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Our conference lineup for 2012

Here at SAS Publishing, we’ve started the new year off with a bang, particularly when it comes to conferences. We’re attending a number of new shows in addition to the usual lineup this year. Visit our booth, meet our authors, check out our new and forthcoming titles, and talk with

Chris Hemedinger 0
Too many pies can be hard to digest

On his SAS and R blog, Ken K. recently posted an example of a visualization technique called "small multiples". In this exercise, Ken shows the programming technique for replicating a particular series of pie charts in R as well as in SAS. It's a useful exercise to learn from, but

Anne-Lindsay Beall 0
WUSS up San Francisco??

The Western Users of SAS Software (WUSS) have the best acronym ever, and they're putting on an amazing conference in San Francisco this week.  The conference kicked off today with conference chairs Kathryn Valdes and Ginger Carey’s announcement that the Pacific Northwest Users Group is merging with WUSS next year, adding

Advanced Analytics
Mike Gilliland 0
The New (BF) Deal

We had a tornado in April, an earthquake on Tuesday, a drought all summer, and a hurricane arrives on Saturday. All I can figure is that Cary, NC has way too many sinners per capita. What's next -- pestilence? The BFD Makeover The BFD (and all SAS blogs) will now be

SAS Events
Chris Hemedinger 0
SAS programmers: meet Twitter

"Twitter, thou art nought but data." So sayeth the SAS programmer. Many data analysts now recognize Twitter for what it is: a tremendous source of data covering almost any topic, from Justin Bieber's hair to political uprisings to technical conferences to company brands. SAS offers sophisticated solutions to harness this

Waynette Tubbs 0
SASonality = Sy Truong

I've never met Sy Truong face-to-face. (That will be one of the top items on my SAS Global Forum 2011 to-dos.) I’ve talked with him on Twitter and enjoyed his blog so much that I listed it in an edition of the SAS Tech Report. I’ve even talked with him

Chris Hemedinger 0
This is your database...on SAS

Curt Monash posted a nice summary of the current and planned offerings that help to make SAS analytics more available "in the database" -- allowing you to analyze your data quickly without having to move it around so much. If you use SAS with Teradata, Netezza, or DB2, much of

Analytics
Anne Milley 0
Playing in Everyone’s Backyard

One of my all-time favorite quotes is from John Tukey: “The best part about being a statistician is you get to play in everyone’s backyard."? Statistics (and more broadly, analytics) contributes to and draws from multiple disciplines. There is a unity to analytical methods: The same method used in quantitative

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