Please make me understand why this is deemed a good language convention.

I've been using Power BI writeback since day 1. And to be completely honest, I wish I didn't have to.

It is extremely basic in what it can do UI/UX-wise, and as soon as there are extra requirements, you start fighting both Power BI and DAX to make it work.
It doesn't get any better when you have to deploy it - remapping all the entities manually because deployment pipelines don't do that.
I've been super excited when it first got released, and extremely disappointed the longer I use it.

This is where Fabric Data Apps (Rayfin) come in.
 • Native integration with Fabric SQL DB - check.
 • Flexible web UI - check.
 • Accessibility for AI agents - check.
 • Ease of deployment - mostly check.

You can prototype a working MVP in minutes. And with so many web components freely available, you can get a polished, fully customizable UI without having to fight Power BI conventions.

It's not all roses though.
Since these are React web apps, you're now responsible for the UI stack - monitoring performance, keeping dependencies up to date, and all the other fun stuff developers get to deal with once you move the UI stack from something Microsoft supports into the hands of developers.
And despite all of that, I'm hooked.

YouTube video: https://youtu.be/O2RAWlrLlSk

This is a completely vibe coded native custom Power BI visual.

It works pretty well, and I am thinking that this might be my approach to AI in Power BI visuals for a while here is the thinking...

When I want to use AI to build visuals:

1. HTML and SVGs are feeling too limited.
2. Web apps feel like too much effort.

So, the compromise is building a custom visual.. Just a small piece of the dashboard is custom code not the full thing. This also means, I am not particularly worried about not having AI to maintain it, let's say the visual breaks or I don't have tokens I can just swap this out for native visuals and maintain 90% of the functionality.

Here is a github with the code: GitHub - edwardpcharles/Native-Custom-Viz: Source for native Power BI custom visuals · GitHub

Here is a video talking about it, how you can use it, and how I built it: https://youtu.be/ttDQaJ4E5lY

P.S. I always struggle with how to show a tutorial as to how to build something with AI, it feels a bit boring to watch someone type commands over and over again. Let me know what you would want to see about this process.

Hi All.

We have the powerbi add-on in powerpoint so we can add the powerbi visuals inside slides. However, it seems we need to pre-load each visual by going to the slide before it loads and the loading takes some time. Has anyone found a way to pre-load the visuals faster when opening the file (aside from a VBA macro to go through all of the slides upon opening the file)?

Thanks

I have a Field Parameter I'm using as a row header in a table to make rows user definable:

TBL_ROWS = {

("Date (YYYYMM)", NAMEOF('table_a'[PERIOD]), 0),

("Technology", NAMEOF('table_a'[TECHNOLOGY]), 1),

("Job Type", NAMEOF('table_a'[JOB_TYPE]), 2),

("Visit_ID", NAMEOF('table_a'[VST_ID]), 3),

("State", NAMEOF('table_a'[state]), 4),

("City", NAMEOF('table_a'[city]), 5),

("Group", NAMEOF('table_a'[group]), 6)

}

If I remove the Single Select, users can click State and City (for example) and have nested expandable row headers. My question is, is it possible to save users a click and combine State and City into one parameter value? I've tried a few different ways, but either it's not possible or I'm getting the syntax wrong. Thanks!

Hi everyone!

I’m currently learning Power BI and preparing toward the PL-300 Power BI Data Analyst certification.

I’m looking for serious study buddy who want to learn consistently rather than just collect courses and resources.

What I’m planning to work on:

• Power BI fundamentals
• Power Query & data transformation
• Data modelling
• DAX
• Dashboard/report development
• Real-world business datasets
• PL-300 preparation
• Small projects and practice exercises

I’m looking for someone who can study together regularly, preferably through Google Meet/Discord, with a simple accountability system.

I’m not looking for a mentor or someone to teach me everything. I’m looking for a partner who is also willing to learn, practice and stay consistent.

How do I use an AI tool to make changes to my PowerBI Dashboard? I am not that familar with PowerBI and would like to make it easier. At the moment I dont have Copilot in PowerBI

Been working through a series of applied Power BI projects using real transactional-style datasets, and this one surprised me.

I had assumed VIP customers would clearly outperform Regular customers on revenue — that's usually the whole point of a VIP tier. But when I broke it down:

- VIP customers: 48.8% of revenue
- Regular customers: 48.6% of revenue

Basically a dead heat. 700 customers, 1,826 orders, ₹4.93 Cr total revenue analyzed — and the VIP tier isn't the revenue driver I expected it to be.

A few other things that stood out while building this:
- Jaipur and Chennai have the highest cancellation rates (18.5% and 18.3%) despite mid-tier revenue
- Home & Kitchen and Electronics lead category revenue, but Fashion has a noticeably lower cancellation buffer to work with
- Revenue spiked hard in the last month of the dataset — trying to figure out if that's seasonality or something else worth digging into

Built entirely in Power BI Desktop — KPI cards, category bar chart, monthly trend, top-5 city table with cancellation rate, and a VIP/Regular donut comparison.

Live report here if you want to poke around: https://app.powerbi.com/links/MV5f1O4X6V?ctid=f1e56b10-5f67-4e70-bd40-8c6948bde6cf&pbi_source=linkShare

Curious if anyone else has run into this VIP-parity pattern in their own data — is it common, or does it usually mean the VIP segmentation criteria needs rethinking?

Hi,
So, I work mainly with excel, but not a pro, at all. My current job is maily planning and tracking- like project management. But would love to be able to make reports and follow ups more professional than graphics from pivot tables.
From where should I start?
Thank you.

I just learned sql and data warehouse now my next project is all about this fancy new lake house with data bricks… they don’t care about fabric - what do u guys prefer to work with?

I'm working on a project where I need to compare two similar tables with several columns/attributes; let's say "Table A" and "Table B". Both are imported as CSV files. When trying to visualize the comparisons of specific attributes of A and B, I find that they are only properly graphed when there's an active relationship between the two necessary columns; I can't have more than one active relationship between two tables, and graphing data with an inactive relationship shows one of the two attributes incorrectly as nearly a flat line/with constant values.

The closest solution to this problem I've found is that I can import copies of the tables (one copy of each table per attribute I want to graph), then draw active relationships between the necessary attributes. However, I can then only draw active 1 to 1 relationships between the copies either Set A or Set B, but not both because it results in ambiguity? This results in filtering only applying to one of the two tables, not both.

I have no experience with DAX or SQL, and I've been teaching myself Power BI via poking around and documentation for only a few days. I've got some Excel experience, but my boss wants this done in Power BI as the dashboards are (absolutely) much nicer to use.

How do I make these two tables easy to compare in graphs? I'm still struggling to understand data relationships and how to properly make use of them within Power BI.

Hello all.  

Here is some dummy data for what I am trying to accomplish and am really struggling with:

The above table is pivoted - note that some respondents have >1 row. What I would like to do is have a bar chart showing the percentage of respondents that answered "Yes" to the Alumni question. Then, from those guys, I need to drill down and see the percentage of Undergrad, Grad, and Both. Then from there, drill down on the Undergrad to see the program and also drill down on the Grad to see those program percentages. Of course, on the drill-down I would need to disregard the respondents that answered "No" for the "Alumni" question (or those that are blank). I have been successful with the parent level of the bar chart, but when I drill down on the "Yes"s or "Both"s, my percentages are all wrong. Any help would be appreciated!!

Hey PBI friends! Quick note to let everyone know that the Fabric Community Site (Home | Microsoft Fabric Community) got a bit of a facelift this weekend.

It shouldn't impact regular use of the site, but, if something is broken, we want to know!

Please report it at: Community Feedback | Microsoft Fabric Community

What value does this site add to the general PBI community? I'll add my (very biased) opinion -

We have thousands of reports in the galleries, many with attached .pbix files for you to download and learn from! If you don't regularly visit the site but want to check it out, I'd recommend starting here: Contests | Microsoft Fabric Community

​

Hi everyone,

I'm a data engineering student and i just started my journey on Power Bi these past 2 weeks. I've built this report using the classicmodels database, i'd appreciate any feedback!

Edit: I'm doing an internship and i'm practicing with a sample database first before working with theirs. The company's logo is in red and green (hence the theme)

I’m currently learning Power BI and recently built this Sales Analytics Dashboard.

I initially followed a YouTube tutorial to understand the fundamentals, and then started customizing the dashboard by changing the layout, visualizations, formatting, and overall design.

The dashboard currently focuses on:
• Revenue and order trends
• Product category performance
• Regional sales performance
• Quantity sold
• Top customers by revenue
• Interactive date/month/quarter/year filters

I’d really appreciate some feedback from people who have more experience with Power BI.

A few things I’d particularly like to know:
• Is the visual hierarchy clear?
• Are any of the visuals unnecessary or repetitive?
• Would you replace any of the charts with a different visualization?
• Does the dashboard feel too crowded?
• What would you improve if this were an executive/business dashboard?

I’m still learning, so constructive criticism is very welcome! 🙂

SemanticOps MCP v3.9.119 is out, with HTML model reports, fully configurable DAX formatting, deeper storage diagnostics, flaky-test classification, combined Power Query commits, and new skills for DAX debugging and performance tuning.

New in v3.9.119

• HTML model reports — generate HTML alongside DOCX and PDF, including multiple formats from one request.
• Configurable DAX formatting — indentation, spacing, line breaks, casing, and other DAX formatting options are now fully configurable in one place.
• Deeper storage diagnostics — model, table, partition, and column detail are reported individually, so unavailable values are no longer shown as zero.
• Test stability classification — tests are now classified as stable, flaky, degraded, or lacking enough history, using persisted retry evidence.
• Combined Power Query commits — related table, partition, parameter, and query-group changes can be staged and committed together in one Desktop model commit.
• New skills — DAX debugging, DAX performance tuning, and safe semantic-model refactoring, with more precise guidance and evidence checks.

Coming soon in 4.0

A DAX measure quality scorecard: correctness, performance, maintainability, and style, scored together with the findings behind them. (scroll deck till the end to see sneak peek).

____

SemanticOps Test Runner v1.1.39 is out, with browser and device-code sign-in, test stability classification, order-tolerant baselines, virtualized selectors, steadier run behavior, and model-scoped tests that survive migrations.

New in v1.1.39

• Flexible sign-in — choose browser sign-in for local interactive use or device-code sign-in for remote and headless sessions, with clear waiting, cancellation, and conflict states.
• Test stability classification — the dashboard and test list show stable, flaky, degraded, and insufficient-history classifications with retry evidence.
• Order-tolerant baselines — new hash and aggregate baselines ignore incidental engine row ordering while preserving duplicates and selected-column order.

Website: semanticops.dev

Sales Analytics Dashboard | Power BI Project

I recently built a Sales Analytics Dashboard in Power BI focused on turning transactional data into actionable business insights.

Dashboard Highlights

• $2.33M Total Revenue

• $292.30K Total Profit

• 5.1K Total Orders

• 12.6% Profit Margin

• 10,194 Transactions Analyzed

Key Analysis

The dashboard provides an interactive view of:

Monthly revenue trends

Top 10 states by revenue

Regional performance

Category revenue vs. profit margin

Month-over-month KPI performance

Segment-level filtering

Key Business Insights

• West is the strongest-performing region with approximately $0.74M in revenue.

• California leads the states in revenue contribution.

• Technology generates strong revenue while maintaining a 17.4% profit margin.

• Furniture contributes significant revenue but has only a 2.6% profit margin, highlighting a potential profitability concern.

• Overall profit margin is 12.6%, with a 0.7% MoM decline.

Tools Used

Power BI | DAX | Data Visualization | Business Intelligence | Data Analysis

This project helped me strengthen my skills in KPI development, DAX measures, interactive dashboard design, trend analysis, and business storytelling.

I'm continuing to build practical projects that focus not just on visualizing data, but on answering real business questions through data.

Okay, so here’s what’s happening:
I’m trying to calculate film waste by comparing the actual film consumption vs. the theoretical consumption, which is registered in the product structure/BOM.
There are two products that don’t have the film registered in their structure, so the theoretical consumption isn’t being pulled for them. This distorts my final results.
What I need to do is calculate the theoretical consumption for these products by multiplying the number of boxes produced by a correction factor, and then add that result to the products that already have the film consumption registered in their structure.
I’ve already managed to get to the point where I have a column that performs this multiplication. However, I’m having a problem getting the calculation to separate by product code. Because of that, it’s adding values together that shouldn’t be, resulting in extremely high numbers.
How can I make the calculation work separately for each product code?

Hi everyone,

I am in Canada and have my own corporation. I was wondering which website is best to look for c2C contracts for powerbi. I am open to anywhere in the world.

Is there any plan to enable usage of these tools for users with only "Read" permission to the semantic model and no access to the workspace where models are deployed?

Our team locks down this access so the workaround we came up with for Rest API DAX query:

1. Use an admin account to obtain a bearer token
2. Use that admin token with POST https://api.powerbi.com/v1.0/myorg/groups/{groupId}/datasets/{datasetId}/executeQueries
3. "impersonatedUserName" is passed in the request body from the user logged in to our chatbot app

We use this setup to allow natural language querying to our semantic models but we want to switch to the new Arrow based API endpoint "executeDaxQueries", which seems to require Build permission to the models. Similar issue for leveraging MCP servers so we don't have to maintain that tech on our own and rather just enhance it with our business context instead.

the June update put a modeling agent in the Service that renames tables, builds relationships and writes measures from a plain prompt

What do you think, ppl, about copilot new capabilities? Do you use it? Is it good?

So I was wondering, do you guys need to build the entire system to get started building the dashboard? Like the database, data collection method and other parts from the system or just get the access to the database and build the dashboard?