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Tricia Aanderud
Senior Director of the Data Visualization Practice, Zencos
Tricia Aanderud, Senior Director of the Data Visualization Practice at Zencos Consulting, provides SAS consulting services to organizations that need assistance understanding how to transform their data into meaningful reports and dashboards. She has been a SAS user since 2002, is a frequent speaker at SAS Global Forum and SAS regional user groups, and is the author of two SAS Press books and one self-published book. She has a background in technical communications, process engineering, and customer service. She has a BA in Mass Communications from Eastern Kentucky University.
SAS Press Bookmarks - Tricia Aanderud
SAS Global Forum 2011 Paper
By This Author
An Introduction to SAS® Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data
By Tricia Aanderud, Rob Collum and Ryan Kumpfmiller
When it comes to business intelligence and analytical capabilities, SAS® Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS® Visual Analytics will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code – unless you want to! You will be able to use SAS ® Visual Analytics to access, prepare, and present your data to anyone anywhere in the world.
Building Business Intelligence Using SAS®: Content Development Examples
By Tricia Aanderud and Angela Hall
Focusing on the SAS BI client, the authors provide a quick-start guide loaded with examples and tips that will help users move quickly from using only one BI client tool to using a significant portion of the system.
Featured Authors
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Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
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Kevin D. Smith has been a software developer at SAS since 1997.
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Dr. Yue Qi works as a data scientist in SAS Institute Inc. He has deep expertise in predictive modeling and machine learning. His work includes interactive visualization and modeling of big data, providing innovative insights for big data analytics, and parallel and distributed computing platform development.
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