Course Overview

Advanced Power BI and Dashboard Development is a comprehensive professional training program designed to equip data analysts, business intelligence professionals, managers, researchers, and decision-makers with advanced skills in data visualization, business intelligence, dashboard design, and interactive reporting using Microsoft Power BI. As organizations increasingly rely on Power BI, Business Intelligence, Data Visualization, Dashboard Development, Data Analytics, Interactive Reporting, Data Modeling, Business Analytics, KPI Monitoring, and Data-Driven Decision Making, the ability to transform complex datasets into actionable insights has become a critical organizational capability. This course provides participants with practical expertise in developing dynamic dashboards and advanced analytical solutions that support strategic and operational decision-making.

The training explores the complete Power BI ecosystem, including data acquisition, transformation, modeling, analysis, visualization, and report deployment. Participants will learn how to connect and integrate data from multiple sources, build robust data models, create advanced calculations using DAX (Data Analysis Expressions), and design interactive dashboards that communicate business performance effectively. The course combines theoretical concepts with hands-on exercises using real-world datasets from finance, healthcare, education, government, manufacturing, sales, and development sectors.

Participants will gain practical experience in advanced dashboard design, KPI monitoring systems, executive reporting, self-service analytics, predictive visualization, geospatial mapping, and performance management frameworks. The course emphasizes dashboard usability, storytelling with data, report optimization, security management, and collaboration through the Power BI Service. Through practical exercises and case studies, participants will develop confidence in creating enterprise-grade dashboards that support evidence-based decision-making and organizational performance improvement.

The training further addresses emerging trends in business intelligence, including artificial intelligence integration, real-time analytics, cloud-based reporting, advanced visualization techniques, data governance, embedded analytics, predictive analytics, and enterprise digital transformation. Participants will develop competencies required to design, deploy, and manage advanced Power BI solutions that enhance operational efficiency, strategic planning, and organizational competitiveness.

Course Objectives

1. Master advanced Power BI functionalities and business intelligence concepts.

2. Connect, transform, and integrate data from multiple sources.

3. Build efficient and scalable data models for analytics.

4. Develop advanced DAX calculations and measures.

5. Design interactive and visually compelling dashboards.

6. Implement KPI monitoring and performance management systems.

7. Create geospatial, financial, and operational analytics reports.

8. Optimize dashboard performance and user experience.

9. Deploy, share, and manage reports using Power BI Service.

10. Apply advanced analytics and AI-powered insights within Power BI.

Organizational Benefits

1. Enhanced data-driven decision-making capabilities.

2. Improved visibility into organizational performance and KPIs.

3. Faster access to accurate and real-time business insights.

4. Increased efficiency through automated reporting processes.

5. Improved strategic planning and forecasting capabilities.

6. Enhanced operational monitoring and performance management.

7. Better stakeholder communication through visual analytics.

8. Reduced reliance on manual reporting systems.

9. Strengthened business intelligence and analytics capacity.

10. Accelerated digital transformation and innovation initiatives.

Target Participants

· Data analysts and business intelligence professionals

· Monitoring and Evaluation (M&E) specialists

· Financial analysts and accountants

· Project and program managers

· Operations and performance management officers

· Researchers and data scientists

· Government and public sector professionals

· Sales and marketing analysts

· IT professionals and database administrators

· Consultants and business advisors

· Academic faculty and postgraduate students

· Anyone interested in advanced data visualization and business intelligence

Course Outline

Module 1: Introduction to Advanced Power BI and Business Intelligence

1. Overview of Power BI architecture and ecosystem

2. Business intelligence concepts and frameworks

3. Advanced Power BI capabilities and use cases

4. Data-driven decision-making principles

5. BI project lifecycle and implementation strategies

6. Industry applications of Power BI

Case Study:
Designing a business intelligence strategy to improve organizational performance management.

Module 2: Advanced Data Acquisition and Integration

1. Connecting to multiple data sources

2. Import, DirectQuery, and live connection methods

3. Integrating databases, cloud platforms, and APIs

4. Data extraction and transformation workflows

5. Managing large and complex datasets

6. Best practices for data integration

Case Study:
Integrating financial, operational, and customer data into a centralized reporting environment.

Module 3: Data Transformation using Power Query

1. Advanced Power Query Editor techniques

2. Data cleansing and standardization

3. Data merging and appending operations

4. Handling missing and inconsistent data

5. Creating reusable transformation workflows

6. Query optimization techniques

Case Study:
Cleaning and transforming multi-source data for executive performance reporting.

Module 4: Advanced Data Modeling

1. Star schema and snowflake schema design

2. Relationship management and cardinality

3. Fact and dimension table development

4. Hierarchies and calculated tables

5. Data model optimization strategies

6. Performance tuning best practices

Case Study:
Building a scalable enterprise data model for organizational analytics.

Module 5: Advanced DAX Formulas and Calculations

1. DAX fundamentals and syntax

2. Calculated columns and measures

3. Time intelligence functions

4. Context transition and filter functions

5. Advanced aggregation techniques

6. Dynamic calculations and KPIs

Case Study:
Developing advanced financial performance metrics and forecasting indicators.

Module 6: Interactive Dashboard Design and Visualization

1. Dashboard design principles and best practices

2. Creating interactive charts and visualizations

3. Drill-through and drill-down capabilities

4. Dynamic filtering and slicers

5. Custom visuals and visual storytelling

6. User experience optimization

Case Study:
Designing an executive dashboard to monitor organizational strategy and performance.

Module 7: KPI Monitoring and Performance Analytics

1. Developing performance measurement frameworks

2. Creating KPI scorecards and performance dashboards

3. Balanced scorecard integration

4. Variance and trend analysis

5. Benchmarking and comparative analytics

6. Executive reporting techniques

Case Study:
Building a KPI monitoring system for a nationwide development program.

Module 8: Advanced Analytics and AI Integration

1. Introduction to AI capabilities in Power BI

2. Predictive analytics and forecasting

3. Statistical analysis within dashboards

4. AI visuals and cognitive services integration

5. Trend and anomaly detection

6. Advanced analytical insights

Case Study:
Using predictive analytics to forecast sales performance and identify business risks.

Module 9: Geospatial Analytics and Mapping

1. Geographic data visualization techniques

2. Map visuals and spatial analytics

3. Location intelligence applications

4. GIS integration and spatial reporting

5. Regional performance analysis

6. Interactive mapping dashboards

Case Study:
Developing a geospatial dashboard to monitor service delivery across multiple regions.

Module 10: Power BI Service and Enterprise Deployment

1. Publishing reports to Power BI Service

2. Workspace and content management

3. Data refresh scheduling and automation

4. Collaboration and sharing capabilities

5. Mobile reporting and accessibility

6. Enterprise deployment strategies

Case Study:
Deploying an enterprise-wide reporting solution across multiple departments.

Module 11: Security, Governance, and Performance Optimization

1. Row-level security implementation

2. Data governance frameworks

3. Access control and compliance management

4. Dashboard performance optimization

5. Monitoring report usage and adoption

6. Managing enterprise BI environments

Case Study:
Implementing secure business intelligence reporting for sensitive organizational data.

Module 12: Advanced Dashboard Solutions and Future Trends

1. Embedded analytics and application integration

2. Real-time analytics and streaming datasets

3. Self-service business intelligence strategies

4. Cloud-based analytics ecosystems

5. Emerging trends in business intelligence and analytics

6. Future innovations in Power BI and data visualization

Case Study:
Designing an enterprise-wide Power BI ecosystem that integrates advanced data modeling, DAX calculations, real-time analytics, KPI scorecards, predictive forecasting, AI-powered insights, geospatial intelligence, automated reporting, governance controls, and executive dashboards to improve decision-making, operational excellence, strategic planning, and organizational performance.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Advanced Power BI and Dashboard Development Training Course