Business Intelligence & Dashboards for Supervisors/Managers – One Day USD 150 / Two Days USD 250 Per Pax
Description
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Introduction to Business Intelligence (BI)
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Understanding the concept and importance of BI
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How BI supports data-driven decision-making
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Key BI tools and technologies used in the Oil & Gas sector
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The Role of BI in Supervisory and Managerial Functions
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Transforming operational data into actionable insights
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Using BI for performance tracking and strategic planning
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Real-life examples of BI in production, maintenance, and HSE
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Data Sources and Data Integration
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Internal vs. external data sources
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Integrating data from ERP, SCADA, and field operations
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Data flow architecture in BI systems
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Data Preparation and Cleaning
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Importance of accurate and reliable data
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Techniques for cleaning, transforming, and validating datasets
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Common challenges and best practices in data preparation
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Introduction to BI Tools (Power BI, Tableau, QlikView)
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Key features and user interfaces
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Choosing the right tool based on organizational needs
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Cloud vs. on-premise BI solutions
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Designing Effective Dashboards
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Principles of visual communication and storytelling with data
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Choosing the right charts, KPIs, and metrics
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Layout and design guidelines for clarity and impact
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Building Interactive Dashboards in Power BI
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Creating visuals, filters, and slicers
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Linking multiple data sources
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Hands-on creation of a management dashboard
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Advanced Dashboard Features
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Drill-down analysis and dynamic filtering
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Using DAX formulas and custom visuals
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Automation and real-time data updates
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Performance Monitoring and KPI Tracking
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Setting SMART KPIs for Oil & Gas operations
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Monitoring production, safety, and financial metrics
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Building automated performance scorecards
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Collaboration and Data Sharing
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Publishing dashboards to the web or intranet
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Role-based access and permissions management
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Integrating BI dashboards with Teams, SharePoint, and mobile apps
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Practical Case Studies and Exercises
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Designing a dashboard for operational performance
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Analyzing field data to support decision-making
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Lessons learned from real-world BI implementations
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Future Trends in Business Intelligence
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AI-powered analytics and predictive dashboards
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Natural language queries and self-service BI
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The evolving role of data-driven leadership in Oil & Gas
