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Internet of Things
Stuart Rose 0
Flipping the data equation

Big Data has become a technology buzzword. But how is Big Data changing insurance? Historically, insurance companies have used SMALL data to make BIG decisions. Today, insurers are using BIG data for SMALL decisions. What does this mean? Traditionally, insurance companies have aggregated data to group risks into broad categories

Rick Wicklin 0
Mathematical art: Weaving matrices

An artist friend of mine recently created a beautiful abstract image and described the process on her blog. She says that "after painting my initial square, I cut it into strips and split them down the middle, then wove them together.... I had no idea when I started piecing these

Learn SAS
Jim Simon 0
Reading Hierarchical Data - Part 3

This post is the third and final in a series that illustrates three different solutions to "flattening" hierarchical data.  Don't forget to catch up with Part 1 and Part 2. Solution 2, from my previous post, created one observation per header record, with detail data in a wide format, like

Data Management
Jim Harris 0
Data quality to "DI" for

There is a time and a place for everything, but the time and place for data quality (DQ) in data integration (DI) efforts always seems like a thing everyone’s not quite sure about. I have previously blogged about the dangers of waiting until the middle of DI to consider, or become forced

Sustainability: Where’s it heading?

From the public debate over Amazon’s workplace culture to the Security and Exchange Commission’s approval of the CEO-to-worker rule, it’s been an interesting few weeks for those of us who care about sustainable organizations. Clearly people have strong feelings about what companies owe society and how front-line workers should be

Learn SAS
Jim Simon 0
Reading hierarchical data - Part 2

This post is the second in a series that illustrates three different solutions to "flattening" hierarchical data. Solution 1, from my previous post, created one observation per header record, summarizing the detail data with a COUNT variable, like this: Summary Approach: One observation per header record   Obs Family Count

Steve Polilli 0
Behind the scenes with SAS R&D

While much of what they say is over my non-technical head, one thing is clear: SAS research and development team members are clearly excited by the new capabilities they have added to the newest release of SAS Analytics. Their pride of accomplishment is plain to see -- even by me

Learn SAS
Jim Simon 0
Reading hierarchical data - Part 1

A family and its members represent a simple hierarchy.  For example, the Jones family has four members: A text file might represent this hierarchy with family records followed by family members' records, like this:   The PROC FORMAT step below defines the codes in Column 1: proc format; value $type

Natan Meekers 0
Why should you use visual analytics?

Are you eager to explore and understand your data? Do you want to improve processes and drive more revenue? Do you want to work with data using an intuitive, easy-to-use interface? This is now possible with visual analytics, technology which combines analytics with interactive visualizations. As published in a recent

Learn SAS
Anuja Nagpal 0
Flexibility of SAS Enterprise Miner

Do you use an array of tools to perform predictive analytics on your data? Is your current tool not flexible enough to accommodate some of your requirements? SAS Enterprise Miner may be your solution. With growing number of data mining applications, having a tool which can do variety of analysis

Aiman Zeid 0
¡Viva el tango! (and the adoption of analytics!)

No matter where I go in the world, I’m constantly amazed by the similarities in business challenges facing organizations around the globe. One of the most common is getting business users to actually adopt and use the insights gained from the great work performed by analytics teams and IT organizations.

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