📈 AI Adoption & Productivity Impact Dashboard

AI Tools Usage.pdf

An interactive analytics dashboard designed to analyze AI tool adoption, usage trends, and productivity impact across sectors, experience levels, and countries.

Objective

AI adoption is growing fast but most organizations are still making implementation decisions based on assumptions, not data. This dashboard changes that. It measures how AI tools actually influence productivity across industries, experience levels, and regions, giving decision-makers a clear picture of what's working and for whom.

🛠 Tech Stack

Tool	Purpose
📊 Power BI Desktop	Data visualization & reporting
📂 Power Query	Data transformation & cleaning
🧠 DAX	KPI calculations & performance metrics
🧩 Data Modeling	Cross-sector & cross-tool analysis
📁 File Format	.pbix

📂 Data Source

Cross-industry AI usage & productivity dataset spanning 2022–2024, covering:

AI tools used (ChatGPT, Claude, Gemini, GitHub Copilot, Notion AI, Perplexity, etc.)
Sector-wise adoption (IT, Marketing, Finance, Healthcare, etc.)
Experience groups (Student, Mid-Career, Senior)
Country-level usage patterns
Productivity impact ratings
Purpose of use (writing, coding, ideation, research, data analysis)

💡 Problem This Solves

Organizations are investing in AI tools without knowing which ones actually move the needle or for which teams, industries, and experience levels.

This dashboard replaces guesswork with evidence, enabling smarter AI investment and rollout decisions.