A Power BI project on Kenya's education system.
# Kenya's Education Sector PowerBI project
## Overview
Educational institutions manage large ecosystems that comprise students, teachers, academic testing and grading methods,
and financial cash flow systems. Relying on flat-table data structures often causes operational difficulties, including
large file sizes, data duplication, reporting inaccuracies, and slow systems.
The objective of this project was to ingest a dirty, flat dataset, carry out relevant data cleaning and transformations,
and develop a fairly optimized database model. By normalizing the flat table into a Snowflake schema, academic assessment
entries were isolated from financial management entries. This approach helped in building an interactive Power BI ecosystem
that provides relevant stakeholders with a fairly clear picture on regional school enrollment, teacher and student
distribution across the counties, financial standing of the education sector, and teacher-student success rates.
## Features
- Education sector executive summary
- School's financial operations analysis
- Academic perfomance analysis
- Location based analysis
- Summarised explanation of data cleaning process
- Brief Model Explanation
- DAX measures used in the model
## Tools Used
- Power BI
- Power Query