Gerhard Svolba
Advisory Pre-Sales Solutions, SAS
Gerhard Svolba, PhD is an Advisory Pre-Sales Solutions Architect at SAS Institute Inc. in Austria, where he specializes in Analytics and customer intelligence. His project experience ranges from conceptual considerations (both business and technical) to data preparation and analytic modeling.
“Rosetta Stone” — The most important text sample in history and the role of labeled data in machine learning
By This Author
Applying Data Science: Business Case Studies Using SAS®
By Gerhard Svolba
In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code.
Data Quality for Analytics Using SAS®
By Gerhard Svolba
This book focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. Readers will learn how to use SAS to perform advanced profiling of data quality status and how SAS can help improve data quality.
Data Preparation for Analytics Using SAS®
By Gerhard Svolba
Text addresses such tasks as: viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, and using SAS procedures for scoring.
Featured Authors
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Neil Constable was a Principal Education Consultant at SAS Institute in the United Kingdom, where he has worked since 2002.
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K. Matthew Windham, CAP is the director of analytics at NTELX Inc., an analytics and technology solutions consulting firm located in the Washington, DC area.
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Sanjay Matange is Research & Development Director in the Data Visualization Division at SAS, where he is responsible for the development and support of ODS Graphics software.
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Michael D. Wallis, MS, is a software engineer at RGP. Previously, he was a developer and former analytical consultant in Artificial Intelligence and Machine Learning, Research and Development at SAS.