Practical Business Analytics Using SAS: A Hands-on Guide

Want to read this on your NOOK? Request as NOOK Book from the publisher

Thank you for requesting this book as a NOOK book from the publisher.

More About This Book

Overview
Product Details
Meet the Author

Overview

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

Part one of the book is an introduction to SAS programming. The authors—all 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. Besides illustrating basic functions, including macros, you will see how each function can be used to get the information you need to improve business performance. The part ends with an extensive case study from the telecommunications industry.

Part two is all about how to use SAS to perform analytics and modeling using both basic and advanced techniques. It introduces you to the data analysis tools in SAS, provides an overview of statistical techniques and reporting, and covers both regression analysis and machine learning, among other topics. Again, each chapter offers hands-on exercises drawn from real business situations.

Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. 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.
Relevant examples for all industries.
Big data analytics in the SAS environment, including how to manage Hadoop-based data and access it efficiently using Hive and Pig.
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. 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.

What you’ll learn

How to program in SAS
How to use SAS to perform data analytics
How to mine text using SAS
How to use SAS in a big data environment
How to understand and use basic statistical methods and techniques in SAS

Who this book is for

IT Professionals who want to become a business or data analyst, predictive modeler, data scientist, social media analyst, big data analyst, BI analyst, or mobile BI analyst. Professionals with some mathematics background or people with some experience in analytics or business intelligence or reporting who want to expand their skills.

Product Details

ISBN-13: 9781484200445
Publisher: Apress
Publication date: 1/28/2015
Edition number: 1
Pages: 375

Meet the Author

Shailendra Kadre has more than 17 years of industry experience, including 15 in the IT sector with companies like Satyam Computers, TCS (TATA Consultancy Services), and Oracle. He has handled large accounts with annual revenue exceeding $10 million. Kadre has also handled many large IT outsourcing deals as a bid manager. As a presales manager, he was instrumental in winning a $200 million deal for Satyam Computers. Later, he worked as a transition manager on the same assignment. Kadre, who specializes in IT delivery and operations management, has worked extensively in manufacturing and the capital markets. He is also a hands-on designer and architect of complex Web applications. Currently he is working with HP in Bangalore, India.

Kadre holds a master's degree in mechanical engineering from the Indian Institute of Technology in Delhi. He is a certified project management professional and a lead auditor for information security initiatives. Kadre has published in the fields of management and IT consulting, mainly focusing on improving operational efficiencies and transforming business. He is also active as a writer and reviewer in various professional forums and trade journals. He is the author Going Corporate: A Geek’s Guide (Apress, 2011).

Venkat Reddy is a post graduate in applied statistics and informatics technology from the Indian Institute of Technology (IIT ) Mumbai. He has more than 8 years' experience in Big Data analytics and several analytics software programs and tools including SAS and R. His major areas of expertise include credit risk model building, customer experience management, social media analytics, machine learning, NLP, text mining, and sentiment analysis. Some of his major projects include an analytics plugin for a GIS tool, text mining and Twitter sentiment on social media data, a football betting model, a money laundering scorecard, customer experience management, credit risk model building for consumer credit cards, and consumer credit risk analysis using Tableau. He also has expertise in predictive modeling, social media analytics, and data analytics.

Venkat is currently working with Trendwise Analytics in Bangalore, India, as manager of a Big Data analytics team.