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.
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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.
CLIENT TESTIMONIAL
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.
The Challenges
01
High Data Volume Complexity
The dataset was extremely large, making processing and handling time-consuming.
Complex Data Transformations
Complex calculations were required due to multiple data transformations.
02
Insurance Pay Rate Comparison
The system had to compare insurance pay rates with the company’s original pay structure.
03
Error-Prone Pay Mapping
Mapping and validating both pay values accurately was difficult and error-prone.
04
Technologies
Built with Industry-Leading Tools
Power BI
Python
DAX Calculation
Google Sheets
Power Query
Solution by Datumquest
Automated data migration and transformation to process large datasets efficiently.
Developed a rule-based engine to convert insurance pay rates into the firm’s standard pay structure.
Applied data validation controls to maintain payroll data accuracy.
Integrated backup, recovery, and performance tuning for secure and faster data processing.
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.
Project Roadmap
Project Timeline
A clear 5-week process covering requirement analysis, data preparation, KPI development, dashboard creation, testing, and final deployment.
01
Discovery
Requirement Analysis
1st Week
02
Development
Data Collection & Preparation
2nd Week
03
Integration
Data Modeling & KPI Development
3rd Week
04
Dashboard
Data Dashboard Development
4th Week
05
Launch
Testing & Deployment
5th Week
Requirement Analysis
We collaborated with healthcare administrators and operational teams to understand payroll workflows, clinician performance tracking, insurance reimbursement processes, and reporting requirements. The objective was to identify business challenges and define key metrics required for decision-making.
Key Activities
- Gathered stakeholder requirements
- Analyzed payroll and clinician workflows
- Defined business KPIs and reporting goals
- Documented dashboard requirements
Data Collection & Preparation
Data was collected from payroll systems, clinician session records, insurance billing reports, and leave management databases. The datasets were assessed, cleaned, and standardized to ensure reporting accuracy.
Key Activities
- Collected payroll and session data
- Gathered insurance payment records
- Cleaned and transformed datasets
- Standardized data structures
Data Modeling & KPI Development
A structured Power BI data model was developed by connecting multiple healthcare datasets. DAX measures were created to calculate payroll metrics, clinician productivity, session performance, and operational KPIs.
Key Activities
- Built Power BI data model
- Established data relationships
- Developed DAX measures
- Created payroll and performance KPIs
Dashboard Development
Interactive dashboards were designed to provide real-time visibility into payroll analytics, clinician performance, insurance reimbursements, leave tracking, and operational efficiency.
Key Activities
- Designed dashboard layouts
- Created KPI cards and visualizations
- Built clinician performance reports
- Implemented filters and drill-through analysis
Testing & Deployment
The solution was validated to ensure calculation accuracy and reporting reliability. After stakeholder approval, the dashboard was deployed and users were trained on how to use the analytics platform effectively.
Key Activities
- Tested data accuracy and KPIs
- Optimized dashboard performance
- Published reports to Power BI Service
- Conducted user training and project handover
Datumquest specializes in AI, automation, data science, and analytics, helping businesses unlock data-driven insights and streamline operations.
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