President, Total Quality Associates, Inc.
Patricia Schaffer is President of Total Quality Associates, Inc., a New York-based consulting firm. Pat has worked with private and public sector information systems for over 30 years with a concentration in the design, development, implementation, and quality assurance of data warehouse and master data management solutions. Most recently, Pat has worked with the States of New York and Arizona on their Health Benefit Exchange projects in the areas of data modeling, reporting, and data warehousing. She has worked as the quality assurance project manager for the State of New York's Medicaid Data Warehouse, technical architect for the State of New Jersey's Decision Support System, Data Architect for the New York State Office of Children and Family Services Data Mart, and subject matter professional for the City of New York's HHS-Connect Master Data Management implementation. Pat has also worked in the pharmaceutical, nuclear navy, and newspaper industries in a variety of data management positions. She also held the position of adjunct professor of Management Information Systems at Union Graduate College in Schenectady, NY.
By This Author
Data Management and Analysis Using JMP®: Health Care Case Studies
Written for both beginner and intermediate JMP® users working in or studying health care, Data Management and Analysis Using JMP®: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace.
- Nicole Ball, a Principal Technical Training Consultant at SAS, teaches courses on SAS Visual Analytics, SAS Data Quality, and the SAS programming language. Nicole is also a course developer for SAS Visual Analytics, which includes writing and updating courses and preparing customized training.
- Russell D. Wolfinger, Ph.D. is Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989
- Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences.