Customer
Power BI governance and enterprise BI modernization became a strategic priority for CSX Transportation, one of the largest freight railroad companies in the United States. Operating extensive rail, intermodal, and supply chain networks, CSX supports thousands of users who rely on analytics for operational planning, performance monitoring, and regulatory reporting. As BI usage expanded, the organization needed a governed, scalable approach to ensure data consistency, security, and cost efficiency across enterprise reporting.
Business Objective
The customer aimed to:
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Standardize enterprise reporting by adopting Power BI
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Rationalize and migrate existing BI inventories into a single platform
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Increase self-service BI adoption without compromising governance
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Establish clear Power BI roles, responsibilities, and usage guidelines
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Optimize software usage, capacity, and total cost of ownership
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Create curated datasets and semantic models for reuse
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Strengthen compliance and audit readiness for analytics
Scope of Services
BXI Technologies partnered with CSX to implement a structured Power BI governance framework that included:
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Design of an enterprise Power BI governance model
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Definition of roles across business, IT, and data teams
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Governance processes for dataset creation, report publishing, and workspace management
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Guidelines for semantic modeling, dataset lifecycle, and certification standards
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Monitoring of BI usage, capacity, performance, and compliance
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Deployment of standardized templates, curated datasets, and certified data products
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Execution of governance practices across technology and service layers
This approach balanced self-service flexibility with enterprise-grade control.
Benefits
The organization achieved:
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Consistent and trusted reporting through certified datasets
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Improved report quality using standardized templates
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Better control over workspaces, permissions, and publishing
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Increased reuse of enterprise datasets
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Improved BI performance through usage and capacity monitoring
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Stronger compliance posture embedded into analytics workflows
Impact
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30–40% increase in certified dataset reuse
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20–25% reduction in redundant or duplicate reports
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15–20% improvement in BI adoption across teams
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25–35% improvement in compliance and audit readiness
