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Work & Life at SAS
Kim Andreaus 0
10 Things I'm Learning

Next week I will be facing two major milestones in my life.  I turn 55 ...and the next day I take my only son to college.  These simultaneous occurrences have led me to some soul searching.   At times like this I often turn to my favorite authors/speakers for insight and

Advanced Analytics | Analytics | Data Management | Machine Learning
Charlie Chase 0
At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

Analytics | Work & Life at SAS
Trent Smith 0
Helping military veterans transition to civilian life, pursue analytics careers

Veterans transitioning back to civilian life face a number of challenges, many of which involve working in a non-military environment. The Honor Foundation helps Navy SEALs and other current and transitioning members of the U.S. Special Operations community enter civilian life. Last week, a group of former special operators visited several

Analytics | Learn SAS
Rick Wicklin 0
What is rank correlation?

When someone refers to the correlation between two variables, they are probably referring to the Pearson correlation, which is the standard statistic that is taught in elementary statistics courses. Elementary courses do not usually mention that there are other measures of correlation. Why would anyone want a different estimate of

Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
How does a marketer know what to test?

As customer interactions spread across multiple touch points, consumers demand seamless and relevant experiences. Traditional planning and design approaches--that rely on historical conventions, myopic single-channel perspectives and sequential act-and-learn iteration—no longer matches the complexity and pace of modern digital marketing. Marketers must  re-evaluate their strategies for engagement—especially in the area

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