Enterprise AI Adoption Dashboard

A Power BI dashboard prototype for tracking AI tool adoption across an organization. Built as an interactive HTML/JS prototype to validate requirements before Power BI development.

Live Demo

View Live Dashboard

Features

3 Dashboard Views

• Executive Summary - Overall adoption KPIs and trends
• Business Unit Deep-Dive - Unit-level metrics, user tables, and task type heatmap
• Use Case Analysis - Task type patterns, heatmaps, and outcome breakdowns

Interactive Cross-Filtering

Click on any chart element to filter all other charts dynamically:

Business Unit View:

• Click funnel stages (Tried, Regular, Power User) to filter by engagement tier
• Click trend chart data points to filter by month
• Click heatmap cells/headers to filter by task type
• All KPIs, charts, and tables update instantly

Use Case Analysis View:

• Click heatmap cells to filter by task type
• Click heatmap row labels to filter by business unit
• Click outcome donut slices to filter by outcome
• Click task trend areas to filter by task type

Visual Feedback

• Selected items highlighted with blue outline
• Non-selected items dimmed for focus
• Filter chips show active filters with remove buttons
• "Clear All" button to reset filters

Running Locally

This project is a static HTML site. Serve it with an HTTP server:

Option 1: Python (Recommended)

cd power-bi-dashboard
python -m http.server 8080

Open http://localhost:8080/prototype/ in your browser.

Option 2: Node.js

npm install -g http-server
cd power-bi-dashboard
http-server -p 8080

Open http://localhost:8080/prototype/ in your browser.

Option 3: VS Code Live Server

1. Install the "Live Server" extension
2. Open project folder in VS Code
3. Right-click prototype/index.html → "Open with Live Server"

Project Structure

/prototype          - Interactive HTML/JS prototype
  /css              - Power BI theme styling
  /js               - Application logic and charts
  /data             - Mock JSON data files
  index.html        - Main dashboard

/docs               - Project documentation
/data-model         - Schema files, DAX measures
/dashboard          - PBIX backups, version history
/testing            - Test cases, UAT feedback
/deployment         - Runbooks, access matrix

Tech Stack

• Frontend: Vanilla HTML/CSS/JavaScript (no frameworks)
• Charts: Custom SVG rendering
• Styling: Power BI theme (Segoe UI, Power BI color palette)
• Data: Mock JSON with seeded random generation

Documentation

• Sprint Backlog
• RACI Matrix
• Status Report Template
• DAX Documentation