A Power BI project
A .pbip file — pages, charts, measures, and the model. You open it in Power BI Desktop.
From requirements to dashboard
From a business question to a BI dashboard
You describe the business and show how the tables look. AI proposes a model, KPIs, measures and pages. You say yes — or you change it. The path is the product: business question → KPI → data model → DAX → dashboard.
Fewer weeks of workshops. More time for decisions.
No account needed to start. No credit card.
You know this moment
A report is due. Not “a sales chart” — a solution people will use to decide. So what do you do?
- A blank Power BI file and guessing which page to build first.
- ChatGPT that writes DAX — but does not design the whole report.
- Weeks of meetings before anyone draws the model and KPIs.
In short
You: “That’s what we meant.” · BiDesignLab: “Here’s the project. Connect the data.”
- It is not a chatbot.
- It is not a one-chart generator.
- It is not access to your production database.
- It is a guided process: business question → KPI → data model → DAX → dashboard, then a package you open in Power BI — with Tableau and Qlik blueprints in the same ZIP.
One rule for the whole wizard
Nothing moves on until you have seen it.
- 1AI proposes
- 2You review
- 3You accept
- 4The project is built
Six steps. You approve each one.
You don’t need DAX. You need to know what the report is about and where the data will come from.
01
Name the solution
For example “Sales analytics”. Pick an area — sales, finance, operations — and optionally an industry. You don’t pick the BI tool first. You design once.
You
Name and topic
The app
Creates the Studio project
02
Show structure, not numbers
Paste table and column names — from a database, Excel, or a model screenshot. No customer rows, no transactions. That’s enough to design the report.
You
Tables, columns, types
The app
Recognises relationships and the topic
03
Say where the data will come from later
Excel, CSV, SQL Server, PostgreSQL, MySQL, Oracle, or an existing Power BI file. Passwords go into Power BI Desktop later — not here.
You
Source type
The app
Maps tables to the future connection
04
AI proposes. You decide.
Goal, report users, KPIs, data model, pages. For each piece: accept, reject, or refine in plain language. Nothing goes into the file without your yes.
You
Accept or correct
The app
Proposes and checks it can be calculated
05
Layout and look
KPI cards, charts, filters, page order, colours, menu. After you have an account you can add a company logo. The report should look like yours — not an empty template.
You
Approve the layout
The app
Designs every page
06
Download the file and connect data
A ZIP with a Power BI project (.pbip), a measure list, and a guide. Open it in Desktop, connect sources, refresh. Live numbers appear on your side — not in the browser.
You
Download and deploy
The app
Assembles the package in the browser
What you hold at the end
An implementation guide
What to open and in which order, so you don’t get lost in the folder.
A measure list
The KPIs you approved — ready to check with a stakeholder.
Tableau and Qlik sketches
If someone in the company uses another tool. A blueprint, not a native file like .pbip.
Then, on your side
- 01Unzip and open the .pbip in Power BI Desktop (enable .pbip preview if needed).
- 02Connect sources — tables and relationships are already in the project.
- 03Passwords and Excel paths go in Desktop, not on the website.
- 04Refresh and check the pages. Tweak details if you want.
What the app does not do
- It does not connect to your production database or pull confidential rows.
- It does not replace Power BI Desktop — it generates a project you open there.
- It does not make business decisions for you. It proposes. You approve.
A table schema is enough to design the report. Not production data.
How we protect dataIn short
You know what the report is about.
BiDesignLab turns that into a model, KPIs, pages, and a file you can open.
Ready to try it on your tables?
Or open the Retail example first — no sign-up.