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Business Analytics: a QuickStudy Laminated Reference Guide
Barnes and Noble
Business Analytics: a QuickStudy Laminated Reference Guide
Current price: $7.95


Barnes and Noble
Business Analytics: a QuickStudy Laminated Reference Guide
Current price: $7.95
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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
Descriptive Analytics
Methods
Benefits
Predictive Analytics
Confidence Levels & Significance
Confidence Level
P Value
Prescriptive Analytics
Data Visualization
Key Roles
Data-Driven Decisions
Choosing the Right Visualization
Neural Networks
Business Example
Deep Learning
Marketing Analytics
Examples
Financial Analytics
Supply Chain Analytics
Customer Service Analytics
Merchandising Analytics
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
Descriptive Analytics
Methods
Benefits
Predictive Analytics
Confidence Levels & Significance
Confidence Level
P Value
Prescriptive Analytics
Data Visualization
Key Roles
Data-Driven Decisions
Choosing the Right Visualization
Neural Networks
Business Example
Deep Learning
Marketing Analytics
Examples
Financial Analytics
Supply Chain Analytics
Customer Service Analytics
Merchandising Analytics