SkillSet SAReporting · Analytics · InsightHow is participation changing?
Compare learner volumes by training year and identify the periods that drive overall reach.
Demonstration case study · Power BI
From training data to a focused Power BI dashboard.
A transparent look at how structured operational data, Power Query and consistent measures can create a clearer management view—without pretending a demo is a client result.
The reporting problem
Raw activity does not automatically become insight.
Training records may contain course names, dates, companies, learner counts and session details, but a management report still needs consistent definitions and a deliberate view of the questions being asked.
Which programmes have the strongest demand?
Rank courses consistently so the portfolio concentration becomes visible.
When does delivery happen?
Group learners by month to expose the rhythm and concentration of training activity.
The reporting method
Build the logic before polishing the visuals.
The demonstration reflects a five-part workflow that can be reused across many operational reporting problems.
Frame the questions
Define the participation, demand and delivery views that management needs.
Structure the source
Keep dates, courses, companies and attendance records in consistent tables.
Transform the data
Use Power Query to standardise categories, types and repeatable preparation steps.
Define the measures
Create reusable totals for learners, companies, sessions and learners per session.
Validate the view
Reconcile headline figures and test year, course and month selections.
What the live report demonstrates
One dataset, three management views.
The public Power BI page is intentionally focused. It uses a small number of visuals to make participation, course demand and monthly delivery easier to explore.
Course by year
A ranked year view shows the distribution of learner volume across 2021–2026.
Most attended programmes
A course ranking highlights high-volume programmes while retaining the ability to filter by year.
Course by month
A monthly ranking makes the busiest delivery periods visible at a glance.
Honest evidence boundary
What this case study does—and does not—claim.
- The report is a functioning interactive Power BI demonstration
- The figures shown are anonymised demonstration data
- The page contains no learner names, email addresses or client identifiers
- The process illustrates a practical Excel, Power Query and Power BI workflow
- The results should not be read as outcomes delivered for a named client
Practical takeaways
Lessons for Excel-to-Power BI projects.
Keep source tables simple and consistent
A dashboard becomes fragile when the source layout changes unpredictably, categories are typed differently and dates or numbers arrive in mixed formats.
Separate data preparation from presentation
Power Query can make cleaning and consolidation repeatable, while the Power BI model and visuals focus on measures, relationships and the audience’s questions.
Validate headline totals before adding complexity
Simple reconciliations for learners, companies and sessions create a foundation for trusting filters, rankings and ratios.
Turn reporting activity into a clearer view.
Start with the source files, reporting cycle and decisions the dashboard must support.