Getting Started with Business Analytics Insightful Decision Making 1st edition By David Roi Hardoon, Galit Shmueli ISBN 1439896532 9781439896532

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Product details:

ISBN 10: 1439896532
ISBN 13: 9781439896532
Author: David Roi Hardoon, Galit Shmueli

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications.

The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics.

The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data.

The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data.

Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Getting Started with Business Analytics Insightful Decision Making 1st Table of contents:

Introduction to Business Analytics
The Paradigm Shift
From Data to Insight
From Business Intelligence to Business Analytics
Levels of “Intelligence”

 

The Business Analytics Cycle
Objective
Data
Analytic Tools and Methods
Implementation
Guiding Questions
Requirements for Integrating Business Analytics
Common Questions

 

Data Mining and Data Analytics
Data Mining in a Nutshell
What Is Data Mining?
Predictive Analytics
Forecasting
Optimization
Simulation

From Data Mining to Data Analytics
Network Analytics
Text Analytics

 

Business Analytics
Customer Analytics
“Know Thy Customer”
Targeting Customers
Project Suggestions

 

Social Analytics
Customer Satisfaction
Mining Online Buzz
Project Suggestions

 

Operational Analytics
Inventory Management
Marketing Optimization
Predictive Maintenance
Human Resources and Workforce Management
Project Suggestions

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Tags: David Roi Hardoon, Galit Shmueli, Getting Started, Business Analytics