Essential reference guide to the transformation of data into insights that will improve business decisions. Developed for business degree seekers and professionals who want to better their decision-making process, this six page laminated guide covers need-to-know facts designed for quick access in a bullet format with color coded sections. Succinctly written and organized by Dr. Kyle Allison a senior executive, professor of analytics, speaker, and author. Dr. Allison uses his multi-faceted knowledge plus real-world experience working with retailers like Best Buy, Dick's Sporting Goods, and VF Corporation to give you the most important facts from his 20 plus years of academic knowledge and business experience. With our famous QuickStudy format giving you more answers per page than any other source, and the value this tool holds to help boost your grades or your business, this inexpensive guide is a must-have.
6 page laminated guide includes:

Introduction
Business Data
- Data Types
- Data Source
- Data Integrity & Data Cleansing
Data Collection
- Techniques
- Challenges & Mitigation
Data Governance
- Key Steps
- Stakeholders
- Benefits & Challenges
- Limitations
Data Mining
- Key Steps
- Stakeholders
- Benefits & Challenges
Descriptive Analytics
- Methods
- Benefits
- Limitations
Predictive Analytics
- Methods
- Benefits
- Limitations
Confidence Levels & Significance
- Confidence Level
- P Value
Prescriptive Analytics
- Methods
- Benefits
- Limitations
Data Visualization
- Key Roles
- Data-Driven Decisions
- Choosing the Right Visualization
- Techniques
Neural Networks
- Business Example
Deep Learning
- Business Example
Marketing Analytics
- Data Types
- Examples
Financial Analytics
- Data Types
- Examples
Supply Chain Analytics
- Data Types
- Examples
Customer Service Analytics
- Data Types
- Examples
Merchandising Analytics
- Data Types
- Examples

Introduction
Business Data
- Data Types
- Data Source
- Data Integrity & Data Cleansing
Data Collection
- Techniques
- Challenges & Mitigation
Data Governance
- Key Steps
- Stakeholders
- Benefits & Challenges
- Limitations
Data Mining
- Key Steps
- Stakeholders
- Benefits & Challenges
Descriptive Analytics
- Methods
- Benefits
- Limitations
Predictive Analytics
- Methods
- Benefits
- Limitations
Confidence Levels & Significance
- Confidence Level
- P Value
Prescriptive Analytics
- Methods
- Benefits
- Limitations
Data Visualization
- Key Roles
- Data-Driven Decisions
- Choosing the Right Visualization
- Techniques
Neural Networks
- Business Example
Deep Learning
- Business Example
Marketing Analytics
- Data Types
- Examples
Financial Analytics
- Data Types
- Examples
Supply Chain Analytics
- Data Types
- Examples
Customer Service Analytics
- Data Types
- Examples
Merchandising Analytics
- Data Types
- Examples

Business Analytics: A Quickstudy Laminated Reference Guide