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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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Randy Collica is a Principal Pre-Sales Solutions Architect at SAS, supporting the retail, communications, consumer, and media industries.
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Michael N. Lewis is Senior Director of Enterprise Analytics at Cleveland Clinic. He directs an industry-leading, cross-functional team to promote the design, implementation, and monitoring of innovative solutions to drive fact-based decision making for planning, management, measurement, and learning.
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Tho H. Nguyen is an author, a data and analytics adviser, and a technology enthusiast delivering value-added business solutions with emphasis on increasing economics, governance, and performance. With over 20 years in leadership roles, he has extensive experience in management, an active speaker on analytic and data management topics, a philanthropist who believes in “paying it forward,” and a community leader and volunteer promoting inclusion and diversity.
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Naeem Siddiqi is director of Credit Scoring and Decisioning, Risk and Quantitative Solutions, at SAS Institute.