Customer
Engagement
Business Operations
Key Factors for Success
Operational Data
Data Analysis and Business Transformation
Data Mining for Understanding Market Dynamics
Value Proposition
Quality 
business analytics and data mining, "quality" refers to the degree to which a product or service meets specified requirements and
customer expectations
...
Engagement 
In the realm of business analytics and data analysis, engagement refers to the level of interaction and involvement that
customers or employees have with a brand, product, or service
...
Business Operations 
These activities encompass a wide range of functions, including production, manufacturing, sales, marketing, and
customer service
...
Key Factors for Success 
decisions Table 1: Data Sources for Business Analytics Source Description
Customer Feedback Information gathered from surveys, reviews, and direct customer interactions
...
Operational Data 
encompasses a variety of data types that are collected from various operational systems, including transaction processing systems,
customer relationship management systems, and supply chain management systems
...
Data Analysis and Business Transformation 
Organizations leverage data analysis to gain insights that drive strategic decisions, optimize operations, and enhance
customer experiences
...
Data Mining for Understanding Market Dynamics 
Customer Segmentation Businesses can use clustering techniques to segment their customer base into distinct groups based on purchasing behavior, demographics, and preferences
...
Value Proposition 
A strong value proposition is essential for attracting and retaining
customers, as it clearly articulates the benefits that a product or service offers compared to competitors
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Reporting on Business Growth 
Operational Metrics Metric Description
Customer Acquisition Cost (CAC) The cost associated with acquiring a new customer
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Marketing Analytics (K) 
This discipline combines data analysis, marketing strategy, and technology to help businesses understand
customer behavior, evaluate marketing campaigns, and make data-driven decisions
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