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Work & Life at SAS
Amanda Pack 0
Actions of L.O.V.E.

It’s February, so love is in the air (or at least hearts, chocolate, and roses are lining the isles at the grocery store) in the weeks before Valentine’s Day.  For the singles in the house, don’t stop here!  The stats are in, and according to the http://www.pursuit-of-happiness.org/ , people who have

Data Management
Jim Harris 0
Crowdsourcing data improvement: Part 2

In this blog series, I am exploring if it’s wise to crowdsource data improvement, and if the power of the crowd can enable organizations to incorporate better enterprise data quality practices. In Part 1, I provided a high-level definition of crowdsourcing and explained that while it can be applied to a wide range of projects

Data Visualization
Sanjay Matange 0
Cancer Deaths Averted

Significant progress in reduction of Cancer mortality is shown in a graph that I noticed recently on the Cancer Network web site.  This graph showed the actual and projected cancer mortality by year for males.  The graph is shown on the right. The graph plots the projected and actual numbers

Internet of Things
Michael Thomas 0
Reality++ fueled by IoT

It's an exciting time for reality! We've been technologically enhancing reality for a long time -- eye glasses, telescopes, binoculars, microscopes, photography, moving pictures, live streaming video over the Internet, etc. But whether it's augmented reality, virtual reality or somewhere in between, a new wave of eye wear technology is

Work & Life at SAS
Pam Cole 0
Ready for Change

Happy New Year!  For many the New Year means new beginnings which also means change.  But change is hard.  We’ve all heard that before, yet still we’re surprised when confronted with the prospect of change and just how challenging it can be. One of the reasons is that most of

Kevin Russell 0
How to perform a fuzzy match using SAS functions

“Here’s Johnny!!!” and well sometimes John and sometimes Jonathan and sometimes Jon. In the real world, you sometimes need to make matching character strings more flexible. This is especially common when merging data sets. Variables, especially names, are not always exactly the same in all sources of your data. When

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