⏲️60 seconds⏲️. That's how fast you can go from data to dashboard with Rill. Watch the video and follow these easy steps to get started:.1⃣Start Rill.2⃣Add source.3⃣Create dashboard.4⃣Deploy to Rill Cloud.5⃣Share project.6⃣Create filters.7⃣Share dashboard

Check out our conversational BI integration with MCP and OpenAI generation of dashboard and models, which makes the self-serve promise a reality. Everything is open-source and available on GitHub, and can be run locally with a single command. curl | sh.

The value of conversational BI comes from what can be persistent and built on top of. We are talking 3 output types: numerical data, text insights, and visual charts. Wouldn't it be nice if we could combine the different output types as an artifact in our BI tool?

ICYMI - listen to @medriscoll share his hot takes. Philosophy Behind BI Tools (2:04).Efficiency Gains with Code (19:00).Analytics Landscape Overview (30:59).Future of BI Architecture (33:04).AI’s Role in Analytics (35:07).The Crowded BI Market (42:03).

Tips for using Claude Desktop with Rill: .6⃣Opus and Extended Thinking for deeper investigations .7⃣Tell it what to do with the response to your question.8⃣Review and challenge the responses .9⃣Ask for advice and explanations .🔟If you want to build a data application, think

Tips for using Claude Desktop with Rill:. 1⃣Configure Claude Desktop to use Rill .2⃣Add ai_instructions to your model .3⃣Create a custom style .4⃣It's like a training role play – give lots of context.5⃣Ask specific questions

AI language models make it possible to talk directly to your data. This is particularly true when you have a metrics layer like Rill. @JonWalls compiled a blog and video of our top 10 tips! Try them out and let us know if you find any new techniques.

RT @sspaeti: After 22 years in data, has «self-serve BI» finally arrived in 2025?. Since 2003, I've worked in the industry to promote self-….

Here's an example of how Rill's MCP integration with Claude Desktop works. The magic is that it's connected to the Rill API and its underlying database, which means it can autonomously figure out your request with actual queries against its database and existing metrics.

In our GenBI Part 2 blog, @sspaeti shares that the future of BI is declarative, contextual, and AI-powered. Conversational BI reduces manual work, enables faster iterations, and expands the number of people who can create meaningful BI insights. Read the full blog👇.

What Can You Ask.⭐️“Show me the monthly active users”.⭐️“Break down conversion rates by channel”.⭐️ "Do I have any outliers in website views? Provide insights". Why You'll Love it.⭐️Fast, human-like answers from your metrics.⭐️Always synced with your latest Rill dashboards

Have you tried it yet? Built based on customer requests, the Rill MCP is live!. By querying data that already has pre-defined measures and dimensions, the responses you get are guaranteed to be as accurate and consistent as the metrics displayed in your Rill dashboards.

The first episode of our Data Driven Leaders Series centers on how Rill helps to identify and define key metrics at a growing e-commerce company. Check out the link below to watch the full interview and hear more insights on how best to evaluate data tools.

"When you're evaluating tools as a data driven user think of the non-technical user. Will they be able to go in and not only understand the tool, but ideally use the tool? We want to create power users across the organization. Rill has absolutely been a game changer for us".

Check out the recording of the MPC for Real-Time Analytics panel discussing how MCPs shift analytics to conversations—making complex data more accessible than ever. Thanks again to @ClickHouseDB for hosting an amazing event!

"Three things you need for good AI - (1) semantics, (2) speed, (3) scale.". Watch the MCP for Real-Time Analytics Panel Discussion to hear more insights from @medriscoll.

⭐️"My life’s work is making data more accessible, more explorable for human brains…Rill is the result of decades of working with data sets starting in computational biology.”

⭐️“I think you can have a one-person data team. Where a developer jumps from Python to SQL to CSS, and even databases are created by agents, not humans—this is the future of data.”

⭐️“We talked a lot about BI-as-code & AI, but there’s an opinionated philosophy behind Rill that doesn’t have anything to do with that. It’s more about good analytics & what people actually do (date time comparisons - week over week). Every person wants to answer these questions”

⭐️“Maybe where we’re going there are no dashboards. Maybe we can have a pure AI interface that interacts with a fast metrics store, and we just start from scratch. We have Claude as the interface to the company’s metrics and business insights.”

⭐️“If you told someone 10 years ago that your BI interface will actually be a chat bot made by another company, that’s hard to even conceive of. But you just showed us that you’re doing BI in Claude, that’s wild!”