SAS® Upcoming Titles

Insightful Data Visualization with SAS® Viya®

Insightful Data Visualization with SAS® Viya®

By Travis Murphy and Falko Schulz
Anticipated publication date: Third quarter 2020

Insightful Data Visualization with SAS® Viya® shows the latest enhancements in SAS Visual Analytics which allow users to design and create rich dashboards and reports like never before. You will learn tips and techniques to get the most from your SAS Visual Analytics software which you can apply back at the office. This book will help provide the perfect balance of creative ideas and practical examples to better engage your entire organization with high impact data visualizations. 

SAS® Visual Analytics 1 for SAS® Viya®

SAS® Visual Analytics for SAS® Viya®

Created by SAS Institute Inc.
Anticipated publication date: Third quarter 2020

SAS® Visual Analytics for SAS® Viya® will teach readers how to explore and analyze massive amounts of data and easily create reports and share insights using SAS Viya.

Statistical Thinking: Improving Business Performance, Third Edition

Statistical Thinking: Improving Business Performance, Third Edition 

By Roger Hoerl and Ron D. Snee
Anticipated publication date: Third quarter 2020

How statistical thinking and methodology can help you make crucial business decisions.

Straightforward and insightful, Statistical Thinking: Improving Business Performance, Third Edition, will prepare you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book will show you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance.

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Anti-Money Laundering Transaction Monitoring Systems Implementation: Finding Anomalies

By Derek Chau and Maarten van Dijck Nemcsik
Anticipated publication date: Fourth quarter 2020

Provides comprehensive guidance for bank compliance and IT personnel tasked with implementing anti-money laundering transaction monitoring.

 

Building Better Models with JMP® Pro, Second Edition

Building Better Models with JMP® Pro, Second Edition

By Jim Grayson, Sam Gardner, and Mia Stephens
Anticipated publication date: Fourth quarter 2020

Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques..

The Data Detective’s Toolkit: Cutting-Edge Techniques and SAS® Macros to Clean, Prepare, and Manage Data

The Data Detective’s Toolkit: Cutting-Edge Techniques and SAS® Macros to Clean, Prepare, and Manage Data

By Kim Chantala
Anticipated publication date: Fourth quarter 2020

This book presents innovative, efficient methods of data cleaning and preparation to improve the quality of final data sets. Readers will learn to use original SAS macros as well as ingenious ways of applying SAS procedures and functions to automate steps, handle missing data, and communicate with clients about data collection.

JMP for Mixed Models

JMP® for Mixed Models

By Ruth Hummel, Elizabeth A. Claassen, and Russell D. Wolfinger
Anticipated publication date: Fourth quarter 2020

JMP® for Mixed Models is a comprehensive introduction to and reference manual on the use of mixed models with JMP software. The topics covered are analysis of simple, intermediate and complex experiments using mixed model methods in JMP, specifically DOE, single and multiple random effect models, repeated measures and spatial models, random coefficient models, and power analysis. Mixed models are essential for researchers and data analysts, and JMP is the ideal visual and intuitive tool, with a unique approach to graphical statistics. 

SAS® Graphics for Clinical Trials by Example

SAS® Graphics for Clinical Trials by Example

By Kriss Harris and Richann Watson
Anticipated publication date:  Fourth Quarter 2020

Using examples that come from real-life graphs and CDISC data sets, this book shows you how to create the typical safety and efficacy graphs used in the clinical phase. The authors draw on their years of experience as practitioners in the health sciences field to present the best solutions to common industry problems. Readers will learn why graphs need to be created and the best methods to create them in SAS, including Graph Template Language (GTL), SG procedures, and animation.

 

Segmentation Analytics Using SAS® Viya: A Practical Approach to Clustering and Visualization for Segmentation

Segmentation Analytics Using SAS® Viya®: A Practical Approach to Clustering and Visualization for Segmentation

By Randall S. Collica
Anticipated publication date: Fourth quarter 2020

Segmentation Analytics Using SAS® Viya®: A Practical Approach to Clustering and Visualization for Segmentation demonstrates the use of clustering and ML methods for the purpose of segmenting customer or client data into useful categories for marketing, market research, next best offers by segment, etc.  This book will highlight the latest and greatest methods available that show the power of SAS Viya while also solving typical industry issues. This book will provide readers with practical methods of using SAS VDMML Model Studio and coding in SAS Studio for segmentation model development, monitoring, and profiling of segments. Understanding how customers behave is a primary objective of most organizations, and segmentation is a key analytic method for achieving that objective. 

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