BI Business Intelligence

Turn Excel sales data into business decisions

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August 24, 2026 Just shipped my first project — a dashboard that turns Excel sales data into business insights

Hey everyone,

This is genuinely the first project I've built and shipped from start to finish, so I wanted to share it here.

The problem: small business owners often track sales in Excel/CSV but never really turn that into decisions — what's profitable, what's risky, what to focus on next.

What it does:

- Import Excel/CSV sales data

- Auto-calculates revenue, profit, margins

- Gives a "business health" score

- Suggests weekly action priorities

- Simple what-if simulator (price/volume/cost changes)

Tech stack: Flask (Python), SQLite, deployed on Render.

Free to try: https://bi-business-app.onrender.com

(demo: demo@bi.local / demo1234 — first load ~30s, free server)

Would love feedback from this community — especially on whether this solves a real problem, and what I should focus on next.

9 Comments

  1. 1

    The strongest part is moving from “dashboard” to actual decisions. The weekly priorities and what-if simulator make the product more useful than simply turning Excel data into charts.

    1. 1

      Thank you — that's genuinely helpful to hear, since that was exactly the goal. A lot of "BI tools" stop at showing you data, but most small business owners I've talked to don't need more charts, they need to know what to actually do with the numbers.

      Curious if you've used similar tools before — did anything about the what-if simulator feel off, or is there a scenario type you'd want to test that isn't covered yet (I only have price/volume/cost changes right now)?

      1. 1
        That’s a useful distinction. The separation probably changes how founders interpret the same churn number.
        1. 1

          Good point — that's actually a gap right now. The health score focuses on margin, growth, and risk, but doesn't explicitly separate out churn/retention as its own signal yet. Definitely something worth adding.

          1. 1

            That’s interesting. I’d be curious what other gaps you uncover as people start using the simulator more.

            1. 1

              Good question. So far the clearest gap is exactly what you flagged — churn/retention isn't its own signal yet. My guess is once more people run their own data through it, pricing elasticity assumptions will be the next thing that turns out to be too simplistic (right now it's linear, real customer behavior rarely is).

              1. 1

                That’s interesting. I’d be happy to continue the conversation beyond the thread — would you be open to sharing the best email to reach you on?

                1. 1

                  Absolutely — happy to continue this. You can reach me at [estiahyseni27@gmail.com].

                  1. 1

                    Thanks! I’ve just sent it over.

                    Looking forward to hearing your thoughts whenever you have a chance.

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Small business owners track sales in Excel but rarely turn it into real decisions. I built this to close that gap — my first project shipped end to end.