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Analytics
Aiman Zeid 0
Building an analytics culture

All Analytics spoke with several leaders at the recent SAS Global Forum Executive Conference on what it means to build an analytics culture.  Here’s a video of those conversations. The video features several sections related to building an analytics culture: Kim Nevala, Director of Business Strategy for the SAS Best

Data Visualization
Sanjay Matange 0
The HIGHLOW Plot

SG Procedures and GTL provide you with a large set of plot statements, such as BarChart, ScatterPlot, BoxPlot and more.  You can use them for the intended purpose, and all is well and good.  However, the real fun starts when you leverage a plot to do something that was not

Data Management
Aiman Zeid 0
No one route to analytics success

I led an analytical culture track at the SAS Global Forum Executive Conference last month in Washington, DC. I talked with leaders in fields as diverse as healthcare, chemical manufacturing and government. Although these organizations have very different operating models, their challenges, comments and questions were similar. They all recognized

Fritz Lehman 0
One SAS to better serve you

At SAS, we’re proud to have customer satisfaction rates reaching up to 90 percent – that’s among the highest in the industry. But we didn’t get there by resting on our laurels. Our customers expect the best from us, and we want to deliver. To that end, we’re making a

Data Management
Sam Munoz 0
Series: BCBS 239 - Principle 4

Principle 4: Completeness – A bank should be able to capture and aggregate all material risk data across the banking group. Data should be available by business line, legal entity, asset type, industry, region and other groupings, as relevant for the risk in question, that permit identifying and reporting risk

Data Visualization
Sanjay Matange 0
Multi-Group Series Plots

The series plot is a popular way to visualize response data over a continuous axis like date with a group variable like treatment.   Here is some data I made up of a response value by date, treatment, classification and company that makes the drug.  The data is simulated as shown in the attached program

Michael Smith 0
What not to miss at PharmaSUG 2014

This year’s conference moves to San Diego, and it’s packed with great learning, networking and fun things to do. I’ve had a small part in the planning, but the bulk of the work is being done by a very hard-working group of volunteers.  If you want to be a part of

Students & Educators
Jennifer Bell 0
School, teacher, student data: Where do we grow from here?

Over the past few months, many US states and districts have received data about student growth and teacher effectiveness. Some educators experience the excitement of outstanding scores and, most importantly, the success of their students’ growth.  Some quietly plug along, satisfied to be meeting growth targets and deciding if it isn’t broken,

Rick Wicklin 0
The inverse of the Hilbert matrix

Just one last short article about properties of the Hilbert matrix. I've already blogged about how to construct a Hilbert matrix in the SAS/IML language and how to compute a formula for the determinant. One reason that the Hilbert matrix is a famous (some would say infamous!) example in numerical

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