A recent article entitled "Nate Silver on big data's future: It's about attitude" appeared on fcw.com (The Business of Federal Technology).   The full article along with the points made below can be read here:

http://www.scoop.it/t/big-data-technology-applications-and-analytics

In the meantime, what came to mind has to do with different analytic approaches being used together to solve a…

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Steve Overton shares this tip for SAS Enterprise Guide users and administrators!

 

A nice feature of SAS Enterprise Guide is the “Files” folder.  This provides direct access to the file system where the workspace server is running.  You can take advantage of this by configuring a central location where users can store data, SAS…

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When I was creating the Summary and Detailed reports for the SAS Global Forum paper, I was demonstrating how to link from the weekly chart to the detailed report about the week.  On my first try with my Week Filter based on the date value – it just would not work.  Eeek!  To fix the problem I made a new data item that was a character value.  This posts talks about my strategy.  [You can read our paper "…

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Excerpt:

There are four key data visualization techniques used by data analysis pros in the government and local law enforcement.  As financial institutions, e-commerce organizations and social network analysts begin to apply data visualization more frequently, these techniques will help guide the process of uncovering meaningful insights hidden within mountains of disparate data.  This post focuses on advanced data visualization using relationship graphs.

In our last post…

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For quite some time, Intelligence Analysts in key government agencies have used these four techniques to reveal significant insights hidden beneath layers of disparate data. Today, they can be applied to your business. Just follow these guidelines.

Whether you are a fraud analyst, cyber security expert or social networking analyst, you'll reveal essential information to manage your business…

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Abstract

Businesses have a large and growing need to analyze data. This is no easy task today with the exploding volumes of data pouring in from everywhere, and the enormous pressure to turn these mountains of data into information that can be acted upon quickly.



It is no surprise that organizations spend over $15B annually on Business Intelligence (BI) and Data Mining technologies. But with all of the focus on infrastructure technologies, there is little emphasis on the… Continue

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