An interactive dashboard that tracks clinician payroll, working hours, and leave management. It provides quick insights into payouts, sick leave, and workforce performance to support data-driven decisions.
Home / Portfolio / Case Study / Data Engineers /
Healthcare Payroll & Performance Analytics
Industry
Healthcare
Region
America
Project Size
Non-Disclosable
Overview
The Problem statement was that the client wanted to calculate and manage the payroll of the clinicians. Therefore, we built a Power BI payroll dashboard based on the data provided. The dataset contained transaction records of sessions conducted by the clinicians, their pay per session, insurance details, and clinician rates associated with the firm. Using this information, we calculated the payment for each clinician by applying the necessary transformations and business rules defined by the firm.
Technologies Used
Power BI
Google Sheets
Python
DAX Calculation
Power Query
The Challenges
01
The dataset was extremely large, making processing and handling time-consuming.
02
Complex calculations were required due to multiple data transformations.
03
The system had to compare insurance pay rates with the company’s original pay structure.
04
Mapping and validating both pay values accurately was difficult and error-prone.
Solution by Datumquest
01
We implemented an automated data migration and transformation workflow to process large datasets efficiently without manual handling.
02
A rule-based calculation engine was developed to accurately convert insurance pay rates and align them with the firm’s original pay structure.
03
Data validation and mapping checks were added to detect mismatches, duplicates, and incorrect pay values before final processing.
04
Backup and recovery mechanisms ensured data safety, while performance optimization reduced processing time significantly.
Core Feature
Automates insurance pay-rate conversion, validation, and secure processing with reports.
- Data validation and error-checking system
- Backup & recovery protection for secure processing
- Performance-optimized processing for faster calculations
- Pay-rate conversion engine
- Automated data transformation and migration for large insurance datasets
Outcomes
Processing became much faster even with large datasets.
Pay-rate calculations were accurate and manual errors were minimized.
Data consistency and integrity were significantly improved.
Staff workload was reduced by automation.
Reports made verification and auditing simple.
Overall system efficiency and reliability increased.
Payroll Dashboard
Appointment Dashboard
An interactive dashboard that tracks clinician appointments, payroll, and working hours. It helps monitor workforce performance, payouts, and leave records through centralized analytics.
Business Intelligence Dashboard
This dashboard presents key operational metrics through interactive charts and KPI indicators. It enables quick monitoring of performance, trends, and workforce activities. The centralized view helps users analyze data efficiently and make informed decisions.
How Datumquest is Making an Impact
Michael Carter
E-commerce Manager
We were facing serious issues managing our large operational data in spreadsheets, which often caused crashes, slow performance, and inaccurate calculations. The team successfully migrated our data into a structured database system without any loss of information. The new system is faster, reliable, and much easier to manage compared to our previous setup. Our order tracking and record management have improved significantly, and daily operations now run smoothly. We appreciate the professionalism and technical support provided throughout the project and are satisfied with the final results
Datumquest specializes in AI, automation, data science, and analytics, helping businesses unlock data-driven insights and streamline operations.
Company
Services
Newsletter
© 2025 Datumquest. All rights reserved. A Thinkwik Company.