https://github.com/nisaharan/provider-compensation-benchmarking

This project merges national provider compensation survey data from MGMA, AMGA, and Sullivan Cotter into a clean, unified benchmark table with percentile interpolation, specialty mapping, and weighted average computations for 2024.
https://github.com/nisaharan/provider-compensation-benchmarking

redshift sql

Last synced: 4 months ago
JSON representation

This project merges national provider compensation survey data from MGMA, AMGA, and Sullivan Cotter into a clean, unified benchmark table with percentile interpolation, specialty mapping, and weighted average computations for 2024.

• Host: GitHub
• URL: https://github.com/nisaharan/provider-compensation-benchmarking
• Owner: nisaharan
• License: mit
• Created: 2025-05-31T04:39:43.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-31T05:58:24.000Z (about 1 year ago)
• Last Synced: 2025-09-08T22:08:46.198Z (10 months ago)
• Topics: redshift, sql
• Homepage:
• Size: 1.92 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 🏥 Unified Provider Compensation Benchmarking

This project merges national provider compensation survey data from **MGMA, AMGA**, and **Sullivan Cotter** into a clean, unified benchmark table with percentile interpolation, specialty mapping, and weighted average computations for 2024.

---

## 📦 What This Project Does

✅ Combines multi-year survey tables (2019–2024)  

✅ Interpolates percentiles from 10th to 90th  

✅ Harmonizes specialty names using a common map  

✅ Calculates **weighted averages** across surveys  

✅ Outputs Tableau-ready benchmark tables

---

## 🛠️ Contents

- `sql/Survey.sql`: Combines and cleans survey data

- `sql/HSG National Blended survey.sql`: Creates blended benchmarking output

- `outputs/provider_survey_schema.png`: Schema flow diagram

- `outputs/combined_2024_data_sample.png`: Example raw table from Redshift

- `outputs/combined_2024_tableau_view.png`: Output table in Tableau

- `outputs/hsg_national_blended_view.png`: Weighted average view from Tableau

---

## 📊 Sample Outputs

### 📘 Schema Overview

![Schema](outputs/provider_survey_schema.png)

### 📋 Combined Survey Data Table (Raw)

![Raw Table](outputs/combined_2024_data_sample.png)

### 📈 Clean Tableau-Formatted View

![Tableau View](outputs/combined_2024_tableau_view.png)

### 🧮 Weighted Average Benchmark Output

![Blended View](outputs/hsg_national_blended_view.png)

---

## 🚀 How to Use

1. Run the scripts in order:

   - `Survey.sql`

   - `HSG National Blended survey.sql`

2. Query from:

   ```

   survey_benchmark_data.final outputs."combined provider survey data - 2024 all percentiles"

   ```

3. Load results into Tableau

---

## 📄 License

MIT License – See `LICENSE`