Electoral Registry Analytics
The Challenge:
Fragmented Data & Manual Latency
Managing a national electoral registry is a high-stakes operation where **accuracy is not optional**. Before this project, the institution faced a critical bottleneck: data was siloed across more than 20 regional branches.
Every time executive leadership required a demographic report or registration update, regional clerks had to manually export spreadsheets. This created a **3-day delay** for critical reports and introduced significant risks of human error and data duplication.
Identified Pain Points:
- error Lack of a "Single Source of Truth"
- timer 72-hour turnaround for simple data requests
- group_off Regional inconsistencies in demographic categorization
Centralized SQL Data Warehouse
Automated Daily ETL Pipelines
Real-time Power BI Monitoring
The Solution:
Automated Intelligence Ecosystem
As the Senior Analyst, I architected a solution that moved the institution from reactive to proactive. I engineered a centralized **SQL-based Data Warehouse** that automatically synced with regional databases every night.
By creating a layer of **Power BI dashboards**, I empowered decision-makers to access real-time registration metrics without calling a single regional clerk. This ensured that national electoral strategies were based on audited, live data.
Measurable Outcomes
Faster Reporting
Data Accuracy
Branches Unified
Technical Deep Dive
Download the full infographic summarizing the ETL architecture and KPI structures.
