Olivia Parr-Rud
Founder, SAS Data Mining Users Group
Olivia Parr-Rud, an internationally recognized expert in predictive analytics, business intelligence, and innovative leadership, founded the SAS Data Mining Users Group, having been a SAS user since 1991 and a SAS instructor and conference presenter for many years. She hosts the popular VoiceAmerica Business radio show Quantum Business Insights and is a thought leader in the integration of analytic tools and leadership practices to optimize performance and organizational agility. Her predictive analytics research led to her first book, Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management (Wiley 2000), which unveiled links between the global economy and organizational dynamics, a topic featured in her second book, Business Intelligence Success Factors: Tools for Aligning Your Business in a Global Economy (Wiley and SAS Institute Inc. 2009). Her current research will develop a model that tracks the alignment of business intelligence with human intelligence. Parr-Rud holds a BA in mathematics and an MS in statistics. In addition to public speaking, she offers training and consulting in both predictive analytics and business leadership, with clients that include numerous Fortune 500 companies.
By This Author
Business Analytics Using SAS® Enterprise Guide® and SAS® Enterprise Miner™: A Beginner's Guide
By Olivia Parr-Rud
This tutorial for data analysts new to SAS® Enterprise Guide® and SAS® Enterprise Miner™ provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries.
Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many hires and prospective hires, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software.
Business Analytics Using SAS® Enterprise Guide® and SAS® Enterprise Miner™ is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy
By Olivia Parr-Rud
For several decades, the growth of business intelligence has enabled companies to streamline processes and expand into new markets on an unprecedented scale. New business intelligence technologies are also enabling mass collaboration and innovation. However, implementation of these BI solutions often gives rise to new challenges. Olivia Parr Rud's Business Intelligence Success Factors shows you how to turn those challenges into opportunities by mastering five key competencies: communication, collaboration, innovation, adaptability, and leadership. Parr Rud examines quantum physics, evolutionary biology, and field theory to explain why developing these key competencies are critical, given the speed of change, globalization, and advancements in business intelligence.
As more and more companies start to use business intelligence tools and technologies, they will move toward enterprise-wide solutions. This offers many new opportunities for the organization to optimize across all areas. But challenges can arise as the company strives to align its various operations around this new organizational model. Business Intelligence Success Factors presents concepts and practices that empower companies to thrive in this high-tech, fast-paced, global economy.
Awards
2014-2015 Society for Technical Communication: Award of Distinguished Technical Communication
Business Analytics Using SAS® Enterprise Guide® and SAS® Enterprise Miner®: A Beginner's Guide
Featured Authors
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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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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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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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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.