Data Analysis Using SAS Enterprise Guide Knowledge Automation Books Statistics

Nice lot of 2 books in Like new condition. Neither was used and both are super clean. Comes from a smoke free home. See the photos.

• Title: Data Analysis Using SAS Enterprise Guide
• Author: Lawrence S. Meyers

A proven decision management methodology for increased profits and lowered risks

Knowledge Automation: How to Implement Decision Management in Business Processesdescribes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions.

• Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services
• Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions
• Proposes a simple \"top-down\" method for defining decision requirements and representing them in a single diagram
• Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit

Nontechnical and accessible,Knowledge Automationreveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.

• Title: Knowledge Automation
• Author: Allen N. Fish

This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.