A common fault in many software development environments is a focus on functional requirements-the what and how-to the detriment of performance requirements, which specify instead how well software should function (assessed through software execution) or how easily software should be maintained (assessed through code inspection).
The text is intended to be read cover-to-cover or used as a reference tool to instruct, inspire, deliver, and evaluate software quality. The text introduces and parallels the International Organization for Standardization (ISO) software product quality model, demonstrating 15 performance requirements that represent dimensions of software quality, including: reliability, recoverability, robustness, execution efficiency (i.e., speed), efficiency, scalability, portability, security, automation, maintainability, modularity, readability, testability, stability, and reusability. SAS Data Analytic Development by Troy Martin Hughes Design quality SAS software and evaluate SAS software quality SAS Data Analytic Development is the developer's compendium for writing better-performing software and the manager's guide to building comprehensive software performance requirements. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.
Relevant examples for all industries.Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions.
Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Illustrations from banking and other industries make the principles and methods come to life.Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. The book concludes with a chapter on analyzing big data. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. Each chapter offers hands-on exercises drawn from real business situations. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. The authors-both SAS, statistics, analytics, and big data experts-first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. The book begins with an introduction to analytics, analytical tools, and SAS programming. Practical Business Analytics Using SAS by Venkat Reddy Konasani Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.