Recorded on July 10th, 2013
True genius resides in the capacity for evaluation of
uncertain, hazardous, and conflicting information.
Prime Minister of England during WWII
In this webinar, Stephen will analyze multiple real-world case studies using SAS Enterprise Guide by following the 7 C’s of Data Analysis. He will collect data from a range of sources, explore the data for common problems, apply quick data fixes, demonstrate best practices of visual analytics and use powerful predictive models that go beyond the limits of standard analysis techniques.
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Standard business analytics can be quite powerful, enabling you to see who did what and also where and when it happened. Advanced methods such as predictive analytics and data mining techniques can lead to a more valuable analysis for multiple reasons, by allowing you to:
1. Discover possible causes and even predictions for the future.
2. Avoid costly mistakes based on natural variability in the business data, a common error among business analysts.
3. Better separate noise in the data from a true signal, guiding you to confident decisions.
If time permits, a brief question and answer session will follow.
The webinar video
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03:50 Session roadmap and quotes
05:35 Why SAS Enterprise Guide matters
13:30 Big picture, practical usage in my work
14:45 Case study background
18:40 Analytic data preparation
23:30 Analytic data preparation demo
34:10 Data exploration and summaries
34:50 Data exploration and summaries live demo
40:10 Data mining and advanced analytics
42:40 Live demo
49:30 Forecasting and future customer ROI evaluation demo
The presentation from this webinar
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