SAS® Upcoming Titles

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.

 

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.

Insightful Data Visualization with SAS® Viya®

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

Data visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS® Viya® shows how the latest SAS Viya tools can be used to create data visualizations in an easier, smarter, and more engaging way than ever before.

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.

 

SAS® Visual Analytics for SAS® Viya®

Created by SAS Institute Inc.
Anticipated publication date: Fourth 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.

JMP® for Mixed Models

By Ruth Hummel, Elizabeth A. Claassen, and Russell D. Wolfinger
Anticipated publication date: First quarter 2021

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. 

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

By Randall S. Collica
Anticipated publication date: First quarter 2021

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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