Flow Viz

Abstract

1. Introduction

This dashboard is for all Agile teams using Azure DevOps, Azure DevOps Server and/or TFS, who want to leverage their data to have better conversations and make more informed decisions. It was built due to years of frustration with 'velocity' and other traditional agile metrics. These are centered on flow, as well as providing forecasting techniques you can use to give customers greater confidence/transparency in your delivery.

2. Objective

A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.

This project demonstrates how TypeScript can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Node.js (LTS) and npm / yarn / pnpm
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/nbrown02/FlowViz.git
cd FlowViz

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by nbrown02 and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.