Hashboard

Hey 2025 ?? We’re kicking off the year with some updates designed to help you keep all of your data resolutions. ? Streamline your workflows with smarter modeling Simplify your modeling process with the AI-Powered Model Builder Assistant — generate clear names, descriptions and custom measures in just a few prompts. Two-way sync with dbt keeps everything aligned, so developers and analysts stay in sync too. ? Accelerate insights with default explorations Help your users start strong with default visualizations and filters for your data models. With project-wide default status filters and curated views, data exploration is more intuitive and inclusive than ever. ? Collaborate securely with enhanced permission controls Power teamwork while protecting your organizational processes. Enhanced permission controls like draft-specific permissions enable team members to propose changes * without * risking live resources or disrupting data integrity. Make this the year you build a collaborative data culture. Check out the changelog for a closer look at what’s new for Hashboard in 2025 → https://lnkd.in/gAk8fWK7

A special ?? for our friends who love spreadsheets. Meet the Calculation Table — a spreadsheet-style interface that makes exploring and refining your data easier than ever. ?? Quickly add, modify or omit calculations with a formula bar? ?? Get a clear overview of your chart’s data frame, pivots included ?? Test and verify changes before visualizing the results Perfect for wrapping up year-end reporting or kicking off 2025 with a smoother workflow. Learn more on the changelog → https://lnkd.in/eiSghqKJ

The tools I explored in 2024: - Polars - DuckDB - uv - SQLMesh from Tobiko - dltHub - Ibis - Microsoft Fabric Tools I'll explore in 2025 (on top of whats above): - Dagster from Dagster Labs - Evidence - Hashboard - Sigma Computing - And maybe Snowflake and Databricks? What else should I explore? Dan Lee inspired me to make this post! #data

Make your data modeling merry and bright ?? In the spirit of the season, we’re excited to drop two new updates under the tree. ?? AI-Powered Model Builder Assistant Santa’s got elves, but you’ve got AI. Our new assistant frees you from the complications that come with building data models — defining custom attributes powered, adding correct numeric formatting for all your measures, the list goes on. Now, clean up your models with just a few prompts and edit suggestions in real-time. Less time modeling, more time at the holiday party. ?? Model Default Exploration Give your users the gift of easy exploration with curated starting points. You specify a default exploration with predefined visualizations and filters. Your users * unwrap * insights faster. Check out the changelog to learn more about each update → https://lnkd.in/gAk8fWK7 And let us know what else is on your holiday wishlist!???

More ideas ? Fewer risks ? With draft-specific permissions, you can empower your team to collaborate on changes while keeping your live projects secure. ?? Team members can suggest and test changes in project drafts without affecting live data models, dashboards or metrics. ?? Users with full permissions can review and apply updates, ensuring control over final changes. ?? Our redesigned roles page makes it easier to manage draft permissions. Test, refine and push innovative ideas — all while keeping your live environment safe. Head to your project’s roles page to get started today.

Say hey to a better workspace ?? We’ve made a few changes to simplify how you navigate and curate your resources: ? New project-wide default status filter allows owners to set a default resource view for all users based on resource status ? Dashboards and Saved Explorations now live in your project’s Workspace (formerly Collections), so you can find all your explorations in a centralized location ? You can now switch between list and grid views — browse your collections however you like! Check out the changelog to learn more → https://lnkd.in/eJfq8G6H

How can you use Slim CI to scale dbt development? For data teams with large dbt codebases, running all of your dbt models to test every change is time-consuming, costly and can lead to stale test environments. A “Slim CI” development pattern solves these headaches, letting you validate changes faster and more efficiently. ?? On Dan Eisenberg's latest blog, dive into the Slim CI approach and discover how to: ?? Use dbt techniques to keep test runs lean ?? Optimize workflows with partial runs ?? Reduce time and cost with selective model testing Ready to speed up your dbt development workflow? This one’s for you. ?? https://lnkd.in/eh68d9zQ

There’s nothing spookier than a blurry chart ?? ?? So, good news: we’ve just expanded our email reporting capabilities to include PDF as an option for your chart or dashboard image. While email clients and browsers tend to down-sample other image attachments, PDFs retain high resolution, which means your data stays crisp and clear — even on the go. Just one more way that Hashboard enhances your journey to insights. Learn more on the changelog → https://lnkd.in/eTD64vtt

Broken and outdated dashboards blocking insights and getting in the way of informed, timely decisions? By bringing software development best practices to BI, data teams can deliver reliable, always-current analytics.?? For a closer look at Hashboard's BI-as-Code approach, head to the blog → https://lnkd.in/eFdAguR5

Right. On time. ? When it comes to your reports, accuracy and timing matter. That’s why we’re excited that you can now monitor and audit the status and details of your scheduled and one-time report runs on Hashboard.?Sort and filter by status, timing, delivery method and destination (Slack, email, Google Sheets). Whether you’re sending out PDFs, images, report data or raw data, it's easier and simpler to keep your data deliveries accurate and up-to-date. Ready to give it a try? Check out the changelog to learn more → https://lnkd.in/eZuxNgsE