Human resources · Dashboard
HR & Compensation Data Automation
How Clouddo Saved a CEO 24 Workdays and €8,000 Annually by Automating HR Data
Automated compensation, leave, and performance data for a 20-person team, giving back 24 workdays and about €8,000 a year.
Impact snapshot
| Metric | Result |
|---|---|
| Executive Time Reclaimed | 24 Workdays / Year |
| Direct Financial Savings | ~€8,000 / Year |
| Data Error Reduction | Near-Zero Accounting Recalculation Costs |
Tech stack
Microsoft Azure
Azure
Power BI
Cloud Storage & Pipelines: Azure Blob Storage, Azure Data Factory
Data Modeling: Azure Analysis Services (Tabular Model), Azure SQL Database
Visualization: Power BI Embedded
The Challenge
Managing compensation, paid leaves, and performance metrics for a 20-person team was costing leadership valuable time. Because data was fragmented across multiple tools and exports, salary estimation was done manually—leading to frequent transactional errors, inconsistent calculations, and unnecessary accounting fixes.
The Solution
Centralized Cloud Ingestion
Built an automated Azure Data Factory pipeline ingesting raw exports directly into Azure Blob Storage for secure, consolidated storage.
Standardized Compensation Engine
Constructed a robust Azure Tabular Model to standardize complex working hour math, leave policies, and salary estimates into one automated schema.
Interactive Executive Dashboards
Implemented an enterprise Power BI reporting layer leveraging the tabular model for real-time visualization of compensation distributions and performance metrics.
The ROI & Results
Reclaimed Executive Capacity
Saved the CEO nearly a full working month of administrative overhead every year.
Lowered Ancillary Costs
Drastically cut transactional errors, eliminating secondary accounting fees spent correcting bad calculations.
Data-Backed Management
Enabled leadership to make compensation and performance decisions based on instant visual analytics rather than manual guesswork.