Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques

Book Description

Analyzing business data points with greater precision, efficiency, and speed

Key Features

• Exposure to work on large datasets, data mining techniques, and SAS built-in functions.
• Exciting examples and a step-by-step guide to the entire field of business analytics.
• Additional support of sophisticated SQL queries and the creation of strong visualization reports.

Description

This book teaches readers how to properly use SAS (R) Studio to enhance business analytics summaries and graphical reports to make more informed business decisions. Since the examples in the book are laid out in a logical sequence, no prior knowledge is required to get started with implementing what you learn in them.

The book begins with configuring your SAS® OnDemand instance, complete with sample datasets and scripts. The book explains programming syntaxes before delving into sophisticated programming principles for managing data values and concludes with creating graphical reports for business data values. It explores how to implement datasets, read external files, execute conditional statements, loops, formats, text, date, numeric functions, and arrays. The book also helps writing SQL Statements such as joins, sets, index, views, etc. with Proc SQL, Univariate (PROC MEAN, PROC FREQ), Multivariate (PROC FREQ), and Design Graphs with the help of PROC SGPLOT.

After reading this book, readers will be able to evaluate business data values and create excellent visualizations that will assist enterprises in making more informed business decisions. Readers will become confident to use SAS Studio’s rich interface and develop analytical programs.

What you will learn

• Configuring Online SAS® OnDemand for Academics.
• Writing BASE SAS Programming, and writing conditional, looping-based programs.
• Implementing SAS built-in text, date, numeric functions, and reading external data files.
• Using the SQL Statement with PROC SQL Processing.
• Plotting attractive data visualization using PROC SGPLOT.
• End-to-end case study on Employee Skill Development’s Data Analytics and Visualization.

Who this book is for

This book is for those who wish to learn how to use SAS Studio’s rich interface and develop an analytical program that helps make better decisions. Having a basic understanding of how data analytics works helps.

中文：

书名：Business Analytics with SAS Studio：通过结合SQL处理、有洞察力的可视化和各种数据挖掘技术提供商业智能

以更高的精度、效率和速度分析业务数据点

主要特点

• 具有处理大型数据集、数据挖掘技术和SAS内置函数的经验。
• Exciting examples and a step-by-step guide to the entire field of business analytics.
• 额外支持复杂的SQL查询和创建强大的可视化报告。

描述

本书教读者如何正确使用SAS(R)Studio来增强业务分析、摘要和图形报告，从而做出更明智的业务决策。由于本书中的示例是按逻辑顺序列出的，因此不需要任何先验知识就可以开始实施您在其中学到的内容。

本书从配置您的SASOnDemand实例开始，并提供了样例数据集和脚本。该书在深入探讨管理数据值的复杂编程原则之前解释了编程语法，并以创建业务数据值的图形报告作为结束。它探索了如何实现数据集、读取外部文件、执行条件语句、循环、格式、文本、日期、数字函数和数组。这本书还帮助编写SQL语句，如连接，集，索引，视图等与proc SQL，单变量(proc均值，proc频率)，多变量(proc频率)，并在proc SGPLOT的帮助下设计图表。

阅读本书后，读者将能够评估业务数据价值，并创建出色的可视化效果，帮助企业做出更明智的业务决策。读者将对使用SAS Studio的丰富界面和开发分析程序充满信心。

你将学到什么

• 为学者配置在线SA®随需应变。
• 编写基本的SAS编程，并编写条件的、基于循环的程序。
• 实现SAS内置的文本、日期、数字函数，并读取外部数据文件。
• 使用带有proc SQL处理的SQL语句。
• 使用proc SGPLOT绘制吸引人的数据可视化。
• 员工技能发展数据分析和可视化端到端案例研究。

Who this book is for

这本书是为那些希望学习如何使用SAS Studio的丰富界面并开发帮助做出更好决策的分析程序的人而写的。对数据分析的工作原理有一个基本的了解会有所帮助。