This document provides an introduction to business analytics, including the types (descriptive, predictive, and prescriptive), tools (data visualization, business intelligence reporting software, self-service analytics platforms, statistical analysis, and big data platforms), roles (business user, project sponsor, project manager, business intelligence analyst, database administrator, data engineer, and data scientist), and lifecycle (problem definition, research, resource assessment, data acquisition, data storage, exploratory analysis, modeling, implementation, and developing deliverables).

1. INTRODUCTION TO BUSINESS
ANALYTICS

2. TOPICS
The Types
The Tools
The Roles
The Lifecycle

3. TYPES OF BUSINESS ANALYTICS
 DESCRIPTIVE ANALYTICS What happened ?
 PREDICTIVE ANALYTICS What might happen ?
 PRESCRIPTIVE ANALYTICS What should we do ?

4. BUSINESS ANALYTICS TOOLS
 DATA VISUALIZATION TOOLS
 BUSINESS INTELLIGENCE REPORTING SOFTWARE
 SELF-SERVICE ANALYTICS PLATFORMS
 STATISTICAL ANALYSIS TOOLS
 BIG DATA PLATFORMS

5. KEY ROLES FOR SUCCESSFUL
ANALYTIC PROJECT
 BUSINESS USER
 PROJECT SPONSER
 PROJECT MANAGER
 BUSINESS
INTELLIGENCE
ANALYST
 DATABASE
ADMINISTRATOR(DBA)
 DATA ENGINEER
 DATA SCIENTIST

6. MAIN PHASES OF LIFE CYCLE
 BUSINESS PROBLEM DEFINITION
 RESEARCH
 HUMAN RESOURCE ASSESSMENT
 DATA ACQUISITION
 DATA MUNGING
 DATA STORAGE
 EXPLORATORY DATA ANALYSIS
 DATA PREPARATION FOR MODELING AND ASSESSMENT
 MODELLING
 IMPLEMENTATION

7. DEVELOPING CORE
DELIVERABLES FOR
STAKEHOLDERS
 PRESENTATION FOR ANALYSTS
 CODE FOR TECHNICAL PEOPLE
 TECHNICAL SPECIFICATIONS OF IMPLEMENTING THE
CODE