Introduction
This training course equips professionals to turn operational data into clear insights, reliable reports and better business decisions. It connects data preparation, KPI analysis, modelling and visualisation with practical approaches to diagnostic, predictive and prescriptive analytics. Participants follow a coherent learning journey that makes advanced concepts accessible without assuming prior coding expertise, enabling them to understand performance, identify improvement opportunities and communicate findings confidently through Power BI.
Through guided, progressively structured learning, participants develop the essential capabilities needed to prepare data, build dependable models, create meaningful measures and design management-ready dashboards. The training course also introduces forecasting, scenario analysis, artificial intelligence, governance and responsible analytics at an applied business level. By combining operational excellence principles with Power BI, this training course helps delegates move beyond reporting what happened to explaining why it happened, anticipating what may happen next and recommending practical actions.
This training course will highlight:
- Integrated operational analytics and Power BI workflow
- Practical data preparation with Power Query
- Reliable modelling, measures and KPI dashboards
- Forecasting and interactive scenario analysis
- Governed, responsible and actionable business insights
Objectives
At the end of this training course, you will learn to:
- Prepare operational data using Power Query
- Build reliable Power BI data models
- Create effective measures and KPI dashboards
- Analyse trends, causes and performance gaps
- Translate analytics into operational recommendations
Training Methodology
This training course uses concise expert explanations, guided demonstrations, structured discussions and progressively scaffolded practical work. Participants apply concepts through an integrated operational analytics context using Power BI and Power Query. Knowledge checks, interpretation exercises and facilitated reflection reinforce learning, while optional extension tasks support experienced delegates without disadvantaging beginners.
Organisational Impact
The Organisation will have the following benefits:
- Improved operational performance visibility
- More reliable data-driven decisions
- Consistent KPI reporting practices
- Faster identification of performance gaps
- Stronger analytics governance and adoption
- Actionable insights for continuous improvement
Personal Impact
At the end of this training course, the participants will gain the following:
- Greater confidence handling operational data
- Practical Power Query transformation skills
- Clearer dashboard design and storytelling
- Improved analytical and diagnostic thinking
- Better forecasting and scenario interpretation
- Stronger influence on operational decisions
Who should Attend?
This training course supports professionals who use operational data to improve performance. It suits mixed experience levels and requires no coding background.
This training course is suitable to a wide range of professionals but will greatly benefit:
- Operations and performance professionals
- Business and data analysts
- Reporting and planning specialists
- Continuous improvement practitioners
- Power BI users and report developers
Foundations, Operational Analytics and Data Preparation
- Operational excellence and data-driven decision-making
- Operational data sources and performance questions
- Descriptive, diagnostic, predictive and prescriptive analytics
- Power BI workflow, interface and core components
- Data types, quality and preparation principles
- Cleaning, transforming and structuring data
- Visual selection, filtering and exploratory analysis
Data Transformation and Diagnostic Reporting
- Advanced Power Query transformation concepts
- Combining, grouping, pivoting and unpivoting data
- Introduction to generated M Code
- KPI design, targets and variance analysis
- Trend, exception and root-cause analysis
- Data quality risks and analytical reliability
- Dashboard layout and management reporting principles
Data Modelling, DAX and Predictive Analytics
- Fact tables, dimensions and relationship concepts
- Simple star schema design principles
- Reliable models and common modelling errors
- Measures versus calculated columns
- Essential DAX functions and calculations
- Prediction, forecasting and historical patterns
- Regression concepts and operational applications
Scenario Analysis, Prescriptive Thinking and AI
- Prescriptive analytics and decision trade-offs
- Constraints, capacity, cost and service levels
- Optimisation and simulation concepts
- Scenario assumptions and sensitivity analysis
- Power BI What-If parameter concepts
- AI and machine-learning applications in operations
- Responsible use, governance and human oversight
Power BI Service, Governance and Business Application
- Publishing, sharing and refresh concepts
- Workspace, security and collaboration principles
- Analytics governance and trusted reporting
- Adoption, change and benefits realisation
- Integrated data-to-dashboard workflow
- Forecast and scenario interpretation
- Operational recommendations and action planning
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
