Customer Insights Framework
Utilizing Big Data for Business Intelligence
Key Metrics
Building a Big Data Strategy for Success
Data Governance in the Digital Transformation
Data Analytics
Big Data Knowledge
The Power of Big Data
Measuring Success of Marketing Campaigns 
Customer Acquisition Cost (CAC): This metric calculates the total cost of acquiring a new customer through the campaign
...Customer Feedback: Collecting and analyzing customer feedback can provide
insights into customer satisfaction and the perceived effectiveness of a campaign
...These methods can be integrated into a comprehensive analytics
framework ...
Utilizing Big Data for Business Intelligence Businesses leverage this data to gain
insights that drive strategic decision-making, improve operational efficiency, and enhance
customer experiences
...popular include: Tool/Technology Description Hadoop An open-source
framework that allows for distributed processing of large data sets across clusters of computers
...
Key Metrics These metrics provide valuable
insights that help organizations make informed decisions, track progress, and identify areas for improvement
...Metrics Efficiency Ratio Capacity Utilization Average Handle Time
Customer Metrics Customer Satisfaction Score (CSAT) Net Promoter Score (NPS) Customer Lifetime Value (CLV) Marketing
...Accountability: Key metrics create a
framework for accountability within teams and departments
...
Building a Big Data Strategy for Success A well-defined big data strategy can help businesses leverage vast amounts of data to gain
insights, improve
customer experiences, and foster innovation
...Organizations should establish a
framework that includes: Data Quality: Implement processes to clean and validate data
...
Data Governance in the Digital Transformation This article explores the principles,
frameworks, and best practices of data governance in the context of digital transformation
...integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to
customers
...Improved Customer
Insights: Data governance facilitates better data integration and analysis, leading to deeper insights into customer behavior and preferences
...
Data Analytics Analytics refers to the systematic computational analysis of data, primarily used in the business sector to extract meaningful
insights that can inform decision-making and strategic planning
...the rise of Big Data, organizations have increasingly relied on data analytics to improve operational efficiency, enhance
customer experiences, and drive innovation
...Apache Hadoop - A
framework for distributed storage and processing of large data sets across clusters of computers
...
Big Data Knowledge encompasses a range of technologies and techniques that enable businesses to capture, store, analyze, and leverage data to gain
insights, improve decision-making, and drive innovation
...Transactional Data Data generated from business transactions, including sales, purchases, and
customer interactions
...Technology Description Hadoop An open-source
framework for distributed storage and processing of large datasets using clusters of computers
...
The Power of Big Data meaningful
insights from this data has transformed the way businesses operate, enabling them to make data-driven decisions, enhance
customer experiences, and improve operational efficiency
...analytics, including: Technology/Tool Description Hadoop An open-source
framework that allows for the distributed processing of large data sets across clusters of computers
...
Strategy It encompasses the allocation of resources, the identification of competitive advantages, and the establishment of a
framework for decision-making
...Differentiation: Offering unique products or services that provide value to
customers
...By analyzing data, organizations can gain
insights into market trends, customer behavior, and operational efficiency
...
Dimensions Dimensions play a crucial role in data mining, allowing businesses to derive
insights from large datasets by organizing information in a meaningful way
...might include: Time (year, quarter, month) Geography (country, state, city) Product (category, brand, SKU)
Customer (age, gender, income level) 2
...They provide the
framework for organizing, analyzing, and interpreting data, enabling businesses to make informed decisions
...
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