Digital Analytics: Data Driven Decision Making in Digital World

SALIENT FEATURES OF BOOK

• Easy to understand language with simple real life examples.
• Primarily focused on Ecommerce and Retail industry.
• Stepwise explanation of very basic to the complex of the statistical analysis.
• All examples are solved using R and Excel or both.
• Step by Step description of Pentaho BI Implementation – ETL, Report, OLAP & Dashboard.
• Comprehensive coverage of topics including Probability Theories, Operation Analytics, Digital

Marketing, BI Implementation, Web Analytics, Forecasting, Customer Analytics & Optimization.

Application focus on current Digital Analytics Practices.

Table of Contents

Chapter – I : DATA ANALYTICS FOUNDATION
Section – I : MEASURING CENTRAL TENDENCY AND DISPERSION
Section – II : PROBABILITY THEORY
Section – III : SAMPLING AND HYPOTHESIS TESTING
Section – IV : LINEAR PROGRAMMING
Chapter – II : ANALYTICS SYSTEM
Section – I : BUSINESS INTELLIGENCE SYSTEM
Section – II : R BASICS
Chapter – III : WEB ANALYTICS
Section – I : GOOGLE ANALYTICS
Chapter – IV : CUSTOMER ANALYTICS
Section – I : CUSTOMER ANALYTICS
Chapter – V : DIGITAL MARKETING
Section – I : DIGITAL MARKETING BASIC
Section- II : DIGITAL CHANNEL OPTIMIZATION
Chapter – VI : FORECASTING AND PREDICTION
Section – I : REGRESSION
Section – II : TIME SERIES FORECASTING
Chapter – VII : INVENTORY MANAGEMENT
Section – I : INVENTORY MODEL
Section -II : TRANSPORTATION PROBLEM
Chapter – VIII : ADVANCED TOPICS