I’ve been working on something

I’ve been working on something I’ve wanted to build for a while — Analytics Copilot.

It’s an AI-powered analytics and business reporting tool designed around a simple idea:

Turn raw business data into a clean, useful, professional report without making the user go through a complicated workflow.

In real-world reporting, the difficult part often isn’t creating a chart.

It’s everything that comes before it.

You may have:

• Multiple Excel or CSV files

• Different sheets and data structures

• Inconsistent date formats

• Numbers stored as text

• Missing or duplicate records

• Inconsistent categories or locations

• Data that needs cleaning before analysis

Analytics Copilot is being designed to help with that workflow.

The user imports their data, the system analyzes the datasets and identifies potential data-quality issues, then helps prepare the data before moving into analysis, KPIs, dashboards, and MIS reporting.

The goal is not to replace Excel or Power BI.

I don’t think every business reporting task needs a complex BI workflow.

Sometimes a user simply needs to take their operational data, clean it properly, analyze the important metrics, create a professional report, and share it with management — quickly.

That’s the problem I’m tryin to solve.

The project is still under development, and there are several important features still being built, especially around advanced data cleaning, data modeling, automated measures, dashboard customization, and reporting.

I’m sharing the current version because I’d love to get feedback from other Data Analysts, BI professionals, Data Scientists, and developers working with real-world data.

Project links:

🔗 GitHub Repository: [https://github.com/SajeebTheAnalyst/Analytics-Copilot]

🔗 Live Tool: [https://analyticscopilot.vercel.app/]

🔗 Portfolio: [https://sajeeb-the-analyst.vercel.app/]

What would you add to a tool like this to make the reporting workflow genuinely useful for a business analyst or MIS team?

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