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More Than Pretty Pictures: Visualizing Insight

February 28, 2014 by Julie Hunt

Entrepreneurs visual.

While more analytics tools, including data visualization applications, are becoming available at a wide range of cost-effective pricing and ease of usability, many midmarket enterprises continue to try to base forward-looking decisions on time-worn methods.[read more]


BI Is Dead! Long Live BI!

July 18, 2012 by Neil Raden

BI is being pulled in new directions because of mobile, social, cloud/SaaS and Big Data innovations, but what is really driving the change is that BI just isn't very good. It's bound by old technology and a read-only data warehouse dependent approach. Here are 12 areas where BI needs to, and will, change.[read more]


USAF Prevents Insomnia with Geospatial

October 31, 2011 by Paul Barsch

Insomnia’s not the norm for United States Air Force (USAF) general officers and other government officials. That’s because with geospatial capabilities the USAF knows where every aircraft, piece of equipment and part is located and where it’s been—anywhere in the world.[read more]

The analyst function is dead

September 9, 2011 by Michael Ensley

"The role of the operational analyst has moved from the business into both Finance and into IT. The Finance team typically focuses only upon the financial outcomes of the business and has left the operational side of the business to the IT team."[read more]

Why Statistics is the next sexy profession

May 27, 2009 by David Smith

Google's Chief Economist, Hal Varian, recently said, "The sexy job in the next ten years will be statisticians." On the Dataspora blog, Michael Driscoll explains why. The sex appeal comes from three core skills: an understanding ofstatistical principles, the ability to "munge" data into forms suitablefor analysis, and the ability to...[read more]

Quick Visualization of Search Queries

April 15, 2009 by Pete Skomoroch

Here is a quick visualization I did in honor of April 15th to investigate what people looking for on tax day… This “query tree” shows the most frequent searches starting with the term “irs”. Each branch in the tree represents a query where the words are sized according to frequency of occurrence. I like how you can see at a glance...[read more]

Chrome Experiments: Online Data Visualization

March 21, 2009 by AjayOhri

Here are some nice data visualization methods elaborated in created one using Social Collider for searching @smartdataco and generated this data map (click to zoom):The site (which goes by the tag of "Not your mother’s Javascript") is created by Google, creator of Chrome Browser. In light of...[read more]

Modeling Visualization Macros

March 16, 2009 by AjayOhri

I was creating some scoring models and decided to look for some macros.1) Here is a nice SAS Macro from Wensui’s blog at particularly useful for Modelling chaps, I have seen a version of this Macro sometime back which had curves also plotted but this one is quite nice too  2) I then...[read more]

Detecting latent variables... in rock music

March 5, 2009 by David Smith

Here's a neat example of data analysis and visualization (sadly, not using R) with an interesting application: detecting rock songs where the drummer uses a "click track" (an audio metronome that keeps the drum beat to a constant pace). Using a click track makes editing and mixing a song together easier by making it easier to line up...[read more]

Data intimacy

February 25, 2009 by Ted Cuzzillo

Long before Scott Davies made the self-service ETL tool he calls Lyza, he tried to find out how analysts really work. He remembers in particular the woman in a focus group who said, “I want to stay close to the data.”He didn’t understand at first. The data was right in front of her, neatly summarized. But she meant all of the data, every...[read more]

PAW: The High ROI of Data Mining for Innovative Organizations

February 18, 2009 by James Taylor

Live from Predictive Analytics WorldJohn Elder presented a collection of case studies to showcase the ROI of data mining. John started by making the point that many of his case studies had technical success but not business success - an interesting statistic. John sees three major ways that predictive analytics can help - streamlining,...[read more]