Every report I build ends up the same way: a perfectly good table surrounded by a wall of slicers, and someone still asking "can I just filter this column?"

Yes. You can. In Excel. Since roughly the dawn of time.

Power BI's built-in table still cant, so I gave up waiting and built one myself. Its called Filter Table (working name, because naming things turned out to be harder than building them).

What it does:

- A filter under every column header: searchable value lists for text, ranges for numbers, from/to for dates

- They're real report filters, so the cards and charts on the page follow along and bookmarks remember them

- Active filters show as chips above the rows, so nobody has to guess why their numbers look wierd

- Per-column aggregation, because summing percentages is a crime I've seen commited in production

- Conditional colours, grouping with subtotals, frozen columns, CSV export

It's free. It makes no network calls and your data stays in your report, so your IT team can relax. Slightly.

Theres a live demo running the actual visual in the browser, and the .pbiviz download, at https://odvisuals.com

It's heading to AppSource soon (as soon as Microsoft's enrolment form stops throwing errors at me). Before it lands there, I'd really value your feedback:

1. What breaks, or behaves differently from what you'd expect?

2. What would stop you from using it in a real report?

3. Whats missing?

Brutal honesty is welcome. I'd much rather hear it here then read it in a one-star AppSource review.

Kurt and I put together release with new features, improvements and bug fixes:
- Native Gantt chart support
- States (hover, press, selected) for conditional formatting in batch ops
- Line and area charts take a legend field
- Updated data roles for native charts
- Renaming a field with fields replace updates bookmarks too

Thank you to everyone in the community who has been reporting bugs. All of them are fixed in this release (hopefully 😄).

Full changelog in the deck. Upgrade with: uv tool upgrade pbir-cli, or using installers from https://github.com/maxanatsko/pbir.tools/releases/tag/v0.9.33

• Used AviationStack free flight details api
  
• Direct query
  
• Custom visual + local python api
• Used UAE-only flights for POC

I don’t have an “Executive” go-to but my “Working” dashboards end up the same and are a hit.

They’re basically, a header with slicers and relevant info, three grouped sideways bar graphs in the middle, and a table below. This covers a lot of ground and people don’t have to ask how to export to excel.

I’d like to hear what some of yall have cooked up

Hi everyone!

I recently created a Quality Audit Dashboard using Microsoft Power BI as part of my data analytics learning journey.

The dashboard includes key metrics such as total tasks, total samples, defects, fatal errors, and quality scores. I also created visuals to analyze performance by auditor, supervisor, employee, work location, and month.

I'm still learning Power BI and working on improving my dashboard design and data visualization skills.

I'd really appreciate your feedback and suggestions on what I could improve in this dashboard.

Thank you!

I'm 27M. Hey everyone, my life has been a little different from that of most people, and I don't have a strong educational background.

Right now, I'm working at a grocery store, but I want to improve my life and learn some stable, valuable skills that can help me earn a reliable income.

I've come across these four skills:

Python

SQL

Excel/Spreadsheets

Power BI/Tableau

I don't know much about these skills or their demand, competition, value, and future prospects.

Technology is constantly evolving, trends are changing, and AI is replacing some jobs. The value of different skills also changes over time.

Before I start learning, I want to understand whether these are the right skills to invest my time in for a stable career and income in the long run.

I'd appreciate your advice. Should I go for these skills, or would you recommend something else?

Ok everyone give me your best landing pages for your reports, i googled and saw some cool ones. I want to refresh our report landing page and want some inspiration.

Hello All, Has anyone worked on a requirement to automate the power bi report development end to end..like a chat interface ingests the user story and then the reports are created by identifying the relevant tables in snowflake etc?

Please if somebody can help, that will be great

I need advice on choosing the right storage mode for a Power BI report. The business is pushing for DirectQuery because it eliminates the need for scheduled dataset refreshes, but I'm not sure if it's the right approach for this requirement.

Data sources:

- Two Oracle databases hosted on different servers.

- Around 10K+ records in each table.

Requirements:

- A couple of report pages with simple visuals, including a table visual combining fields from both tables using a 1:1 relationship on Material ID.

- Compare specific fields for each Material ID across both sources to check whether they match and create an alignment status/column.

- Add a couple of calculations based on this alignment status.

My concern is whether implementing these comparisons, calculated fields, and measures in DirectQuery would be challenging, particularly when translating the logic into SQL queries across two separate Oracle sources. Could this also introduce performance issues?

Would DirectQuery be a reasonable choice for this scenario, or should I reconsider the approach?

I'd appreciate advice from anyone with practical experience in Power BI and multiple DirectQuery sources.

The other day this problem came up for me, where when signing into Power BI desktop, I would correctly type in my credentials, approve the sign in on my Microsoft Authenticator app, and then it would suddenly say "Something Went Wrong" and not elaborate.

On the Microsoft Admin Console, it says the sign in attempts were successful, even though I know they weren't.

A couple important notes is this all started a few days ago when it prompted me to update my password, and I still have no problems logging into Power BI online or Microsoft in general.

Does anyone have any advice on how I can fix this? None of the advice from AI was helpful.

Wholesale distribution. We commit purchase orders at a SKU level, but forecast at a product group level, so the two only line up at group level. I'm not sure how structure the model, I currently have two DIM tables one at Product Group level and one at SKU level but I would rather not duplicate them and end up with two competing product group dimensions.

Also how do I set up a rolling the stock forecast forward in M. I'm currently using a calculated column showing Opening stock plus cumulative inflows, less cumulative demand at a Product Group level, with demand capped at what is actually available so a month cannot consume stock that is not there. This approach works while demand stays at or under available stock however, the moment a month's demand exceeds available inventory, the cap kicks in, and every month after that is wrong, because the cumulative formula keeps using raw demand instead of the capped closing. The error is silent and compounds downstream. Another approach I've tried is pusing this to Power Query using List.Accumulate over each product group's months in date order, carrying closing into the next opening, I haven't quite got this working yet and don't know if this is the right approach or if I should be trying something else?

If you have modelled inventory levels against a monthly forecast what did you do?

With so many modern charting tools, technical indicators, and AI-powered trading platforms available today, I'm curious whether traditional candlestick charts are still a go-to choice for traders and financial analysts.

Personally, I think there's still value in seeing price action through open, high, low, and close (OHLC) data. Candlesticks make it easier to understand price movements, spot potential patterns, and analyze market behavior without drowning in too much information.

But I'm curious about a few things:

• Do you still prefer candlestick charts over line charts or other visualizations?
• What features do you consider essential in a good financial charting tool?
• Are traditional candlestick charts enough for your workflow, or do you need more advanced customization and analysis features?

I've also been exploring how financial charts can be made more useful and accessible, especially inside tools like Power BI, where visualizing financial data can be part of a larger analytical workflow.

Would love to hear what traders, developers, and data analysts here think. Are candlestick charts still worth investing time in 2026, or are there better alternatives now?

Custom visual written in TS; each question is posted to a small python api , the api then sends the query to the LLM provider (Gemini in this case). This is a POC

For production, we need to deploy api on Azure services and add auth and security with rate limits properly. simple tbh

Any thoughts/suggestions are appreciated

Could be wrong tho

Background: in our company, we have a lot of duplication of reporting and data models. Often new requests for reports will have a lot of similarity to previous requests, but we will still end up creating a new, small data model for it rather than building off an existing one. We have over 70 models, most of them serving a single report.

The big idea: I have used PowerShell to download the code for every report (including models) in the business. This included all m query, connections, calculated columns, measures, etc. I have also taken all of the tables and views from the data warehouse(s) (not the code behind the views, just the tables and schemas). I gave it to Claude, and asked it to propose a new architecture for our semantic layer.

The result: claude has proposed that we can do all of our reporting with only 3 models. It has given me a list of all the fact tables I need to build to replicate what we have already, and has written all of the measures for me as well. I am considering building the models that it has proposed and seeing what happens. Bear in mind, I did not give it access to the views, so it is building everything off the top of views I have created, but I have considered giving it access to the code for all the views and procedures, to allow it to consolidate some of the views as well.

Is this too good to be true? I am hoping that it will take dozens of models which are basically like little data silos and provide me something easy to use, which I can then slap an AI agent over the top for quick queries, and which I can give to people to make their own reports.

Has anyone had experience of doing something similar, and how did it go?

Thanks in advance

Edit: additional detail we are moving to a new data platform, which gives us a kind of clean slate to build something new

This is a micro rant. We have two premium capacities hosting around 5000 reports… Every now and then we throttle because some of these reports are massive. But the one that’s been taking the crown of massive CU gobbler machine is a very simple one-page report that has a copilot-generated Summary.

The summary refreshes on every report view AND on every slicer change. The slicer I can understand. But the generation on every visit is just insulting. The summary should be generated ONCE when the report refreshes and then be static until the next refresh. In fact, if it were any intelligent it would already calculate the slicer combinations and generate a summary for each one of them ON REFRESH. But I guess that would be a bad business case.

I am RPA dev having 6 years of experience. I am looking for Power BI course.Can someone please suggest a good course and power bi learning Path

anyone else notice in the new power bi update that when you scroll on the data pane it goes glitchy as hell? it's annoying.

Some think Power BI and dashboards will remain central, others think AI agents will let people ask questions directly of governed data models, with traditional reports reserved for leadership and critical KPIs. Some say Power BI is going away forever to be replaced by….something else….

I suspect we’ll see a huge variety of all kinds of mixed models as new technology emerges, but the pace of change is impossible to predict….and this looks different for even people within the same organisation.

If you asked this question 4 years ago I’d imagine there would be far more people all saying very similar things. We were all just praying for user defined column widths!

I’m really interested to hear from your perspective how has your job changed and what are you expecting the next 12-24 months to look like?

Still i am very confused about it , i can just make a React app instead of this expensive Fabric Vibe coded slop. Any advantage of this over react/node app???

i can connect my fabric features directly to the react app and customize 10000X better than what fabric is providing

Yes, the infra should also be managed, but for tech-savvy devs I don't think it would be a big issue

TL;DR

• Build the frontend in React or Next.js.
• Build the backend in Node.js.
• Connect directly to Fabric APIs, SQL endpoints, and Power BI(PBIP).
• Manage your own hosting, authentication, CI/CD and infrastructure.

most of the people are vibe-coding apps inside Fabric; it's better to vibe-code from scratch

Edit: Also, my concern is regarding code maintainability, yes apps can be easily made in Fabric apps using vibe coding, but it will eventually fail them. Plus vibe coding in a production env is big no no, especially if you are not into coding. For POC purposes, it is definitely workable, but for production. I don't think so .

If you cant debug without AI, Dont vibe code in production

In a card visual - how do I display callout labels and values in a horizontal alignment. I have attached an image for reference. What is being shown, are four different values.