This HR analytics project was developed as a capstone deliverable for the Digital SkillUp Africa (DSA) training program. It simulates a real-world scenario where I served as a junior analyst for Palmoria Group, tasked with investigating HR trends, rating equity, compensation patterns, and bonus allocation strategy using Microsoft Power BI.
# Case Study 3: Palmoria HR Performance & Compensation Analysis
## Author
**Adeniji Elijah Adetomiwa**
Junior Data Analyst
## Submission Date
**July 2025**
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## Table of Contents
- Project Description
- Dataset Overview
- Key Business Questions
- Tools & Workflow
- Dashboard Pages & Visuals
- Insights & Observations
- Connect with Me
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## Project Description
This HR analytics project was developed as a capstone deliverable for the **Digital SkillUp Africa (DSA)** training program. It simulates a real-world scenario where I served as a junior analyst for **Palmoria Group**, tasked with investigating HR trends, rating equity, compensation patterns, and bonus allocation strategy using Microsoft Power BI.
The dashboard is interactive, multi-layered, and designed to help management gain deeper insight into internal workforce dynamics.
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## Dataset Overview
### 1. **Employee Dataset**
Contains employee-level records including:
- Name, Gender, Location, Department
- Salary, Performance Rating (Very Poor to Very Good)
Employee Dataset
### 2. **Bonus Rules Dataset**
Bonus percentages vary by **Department + Rating**.
This dataset was unpivoted and mapped using composite keys to calculate conditional bonus payouts per employee.
Bonus Rule Dataset
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## Key Business Questions
| Page | Questions Answered |
|------|--------------------|
| 1. Workforce Profile | What’s the gender and departmental spread across regions? |
| 2. Compensation Overview | How fairly are salaries distributed by gender and region? |
| 3. Performance & Ratings | Are ratings consistent across departments and demographics? |
| 4. Bonus Allocation | Who earned bonuses? Are payouts equitably distributed? |
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## Tools & Workflow
- **Power BI Desktop** Power BI
- Power Query: Data cleaning and transformation
- DAX: Custom measures and calculated columns
- Data modeling: Composite keys, many-to-one joins
- Visuals: KPIs, funnel, waterfall, filled maps, matrix, gauge
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## Dashboard …