Despite technology advances, many organizations still struggle to get value from their data and analytical investments. While providing self-service analytics has been helpful, finding and retaining analytical talent and providing them with a productive environment remains a problem.
There are times when a fast, easy drag-and-drop interface will greatly expedite data exploration and model building. Other times, your data scientists and statisticians need powerful coding capabilities to build and fine-tune predictive models.
This white paper takes a look at SAS Visual Analytics and SAS Visual Statistics—two solutions that share the same web-based interface—and shows in five easy steps how they can be used together to provide a fast, fun way to explore data, build models, and find the best performer. Your analytics journey just got a lot easier.
Sponsored By SAS
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