Unified
Best Practices for Data Management
Data Governance Framework for Nonprofit Advocacy
Data Governance Framework for the Sports Industry
Realizing Value from Big Data Investments
Implementation
Analyzing Operational Efficiency Metrics
Big Data and Customer Journey Mapping
Big Data Research 
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Best Practices for Data Management Utilize Data Integration Techniques Data integration is crucial for creating a
unified view of information from disparate sources
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Data Governance Framework for Nonprofit Advocacy Data Silos: Data may be stored in disparate systems, making it challenging to achieve a
unified view of data
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Data Governance Framework for the Sports Industry the sports industry faces several challenges: Data Silos: Fragmented data across different departments can hinder a
unified view of information
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Realizing Value from Big Data Investments Data Integration Combining data from different sources to provide a
unified view for analysis
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Implementation Data Integration: Combining data from different sources to create a
unified view for analysis
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Analyzing Operational Efficiency Metrics operational efficiency metrics, organizations should follow these best practices: Integrate Data Sources: Create a
unified data strategy to break down silos and enhance data accessibility
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Big Data and Customer Journey Mapping Data Integration: Combining data from various sources to create a
unified view of the customer journey
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Data Framework Data Integration: Combining data from different sources for a
unified view
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Data Governance for Investor Relations investor relations can present several challenges: Data Silos: Fragmented data across various departments can hinder a
unified view of investor information
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