Gerhard Svolba
Advisory Pre-Sales Solutions Architect, 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.
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.
- Table of Contents
- Excerpt
- Example Code and Data
- Sample Graphs (.zip)
- Selected Color Graphs (.zip)
- Additional Resources
- 2018 SGF Paper: Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures [PDF]
- Understanding relationships using Monte Carlo simulations and data science methods (This article is German/Deutsch)
- Reviews
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Data Quality for Analytics Using SAS®
By Gerhard Svolba
- Table of Contents
- Excerpt
- Example Code and Data
- Updates
- SGF Paper: DQFA
- Informs: The origin, detection, treatment and consequences of missing values in analytics.
- IT-Briefcase: Is your data ready for analytics?
- Additional Resources
- Reviews
This book focuses on selecting the right data sources and ensuring data quality, 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.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
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.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Featured Authors
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.