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Case study

Stakeholder Engagement Report

From fragmented enrolment data to actionable employer intelligence.

Power BIDatabricksAzure Data FactoryPower QueryDAX
Stakeholder Engagement Report dashboard in Power BI

Built for one business need. Recognised across multiple teams.

Data Privacy Note

πŸ”’ Data privacy: This case study reflects a real-world project and solution. Names, figures and identifiable information shown in dashboard screenshots have been anonymised or replaced with representative data to protect confidentiality.

The data challenge

The answer didn’t exist in the source system. It had to be derived.

SELMA did not directly connect employers with campuses. I needed to derive this relationship through the learner and enrolment structure, while making sure the relevant active employer relationship was used β€” not just any historical one.

Employer
Learner
Enrolment
Programme / Course
Campus

The resulting data model

The business logic

New vs. Returning

Last 3 months

New Employer

An employer whose relevant engagement began within the previous three months.

3 months + 18-month lookback

Returning Employer

An employer that re-engaged within the previous three months after at least 18 months of inactivity.

18 months inactive (returning)Last 3 months (active window)

This distinction transformed a simple list of recent employers into more meaningful stakeholder intelligence.

How I built it

Architecture

SELMA
Azure Data Factory
Databricks
Curated Reporting View
Power BI
Business Users

Databricks

Transform

  • Data cleansing
  • Transformation
  • Business rules

Power BI

Model

  • Power Query
  • Semantic model
  • DAX

BI Delivery

Deliver

  • Peer Review
  • UAT
  • Production

Try it yourself

See the Report in Action

A short walkthrough of how business users identify and explore new and returning employers.

01Filter by campus
02Identify New vs Returning employers
03Access actionable employer information

Business adoption

Who uses it

Learning Delivery & Campus Managers

Identify recently engaged employers, establish contact earlier, maintain employer relationships, and prepare for incoming learners.

Sales

Gain visibility of new and returning employer relationships, and use employer intelligence to support relationship management and identify potential engagement opportunities.

HR

Recognised potential value in the employer intelligence and showed interest in accessing the report for their own business needs.

Originally developed for Learning Delivery and Campus Managers. Its value extended beyond the original use case, with Sales and HR also recognising the value of the employer intelligence and showing interest in accessing the report.

Built for one business need. Recognised across multiple teams.

Business Value

Better Visibility

Teams gained a clearer view of newly engaged and returning employers associated with individual campuses.

Proactive Engagement

Learning Delivery and Campus Managers could identify relevant employer relationships earlier and engage more proactively.

Cross-Functional Value

The employer intelligence proved useful beyond the original audience, attracting interest from Sales and HR.

End-to-end ownership

What I Owned

Requirements
Data Investigation
Business Logic
Data Transformation
Data Modelling
Power BI Development
Testing
UAT
Production
User Enablement

Technology Stack

Power BIDAXPower QueryDatabricksAzure Data Factory
Data ModellingData TransformationBusiness Rule DesignData VisualisationStakeholder EngagementUATProduction Delivery

From Data to Action

This project demonstrates how I approach BI beyond dashboard development β€” understanding the business decision, solving the underlying data problem, translating it into usable analytics, and supporting adoption across the business.

Business Problem β†’ Data β†’ Logic β†’ Insight β†’ Action