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When it comes to e-mail-based newsletters, I'm of two minds. On one hand, I feel like I receive enough (or maybe too much) e-mail and I'm reluctant to clog up my inbox with more stuff -- especially if it's information that's located elsewhere (such as on that big backup drive
Most organizations enjoy a plethora of SAS user types—batch programmers and interactive users, power users and casual—and all variations in between. Each type of SAS user has its own needs and expectations, and it’s important that your SAS Grid Manager environment meets all their needs. One common solution to this
I love summer. I love the sunny days, the sound of the happy birds in the morning, growing tomatoes in my back yard, and playing outside with my family. Beach or mountains – I’m 100% beach. Sunshine or snow? 100% sunshine, palm trees, sand, and the beautiful sound of waves
While managing quality within the four walls of your own operation is all well and good and totally necessary, both the market and your bottom line are demanding a more holistic, quality lifecycle approach, and in support of that aim there is a treasure trove of downstream data waiting to be
Have you written a SAS/IML program that you think is particularly clever? Are you the proud author of SAS/IML functions that extend the functionality of SAS software? You've worked hard to develop, debug, and test your program, so why not share it with others? There is now a location for
This was probably my favorite of the myth-busters webcasts I have been spewing about, and now I definitely want to meet James Dallas so we can discuss and nod emphatically at each other’s insights on this topic! The “You can’t have analytics without IT” myth is the fourth myth covered
A recent project with a supportive housing provider in New York City showed how analytics leads to insights that can change, even save, lives. The New York City Center for Innovation through Data Intelligence (CIDI) is the analytics research arm of the City’s Deputy Mayor for Health and Human Services
In my four years of blogging, the post that has generated the most comments is "How to handle negative values in log transformations." Many people have written to describe data that contain negative values and to ask for advice about how to log-transform the data. Today I describe a transformation
Young digital natives are learning chess at an unprecedented rate. Three-year-olds learn chess from the tablet and quickly become more knowledgeable than their parents. But unlike most tablet games, chess is a gateway to Science, Technology, Engineering and Mathematics (STEM) education. We grown-ups must optimize the chess-to-STEM pipeline, but how? Consider this
Did you inherit code that was written eons ago? Do you find old programs to copy the PROC REPORT code and then simply change the variable names for your new program? Have you wondered what all of those options do? Do you ever send output to the Listing destination (the
Order must be the most frequent cry for help in the SAS classroom. “HELP,” said my student in the classroom. “I work with messy health data. My users want to see data in this order.” T1.col1, t1.col2, t1.col3, t1.col4, t2.col5, t1.col6 and list the remaining columns in column position from
Data visualization tools are a great way to create impactful reports. A well designed report can give users an understanding of their data quickly and easily. And with tools like SAS® Visual Analytics, users can now quickly visualize and understand vast amounts of data. However, with all the visualization options
SAS users love to look at data. And the data grid in SAS Enterprise Guide is a convenient way to view the contents of a data set. While small data sets can be rendered lickity-split for quick viewing, sometimes people get justifiably anxious when opening very large data. Perhaps they've
Recently, the American Statistical Association (ASA) released a statement about value-added modeling. This statement was widely covered in the national press, some of which positioned the statement as a significant blow to value-added modeling. However, the ASA statement did not “slam” value-added modeling; rather, the statement’s authors advocated statistical rigor,
Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why