Metabase

The Embedded Analytics SDK for React is now Generally Available ?? The SDK opens up new possibilities for teams that need more control, customization, and flexibility over what they embed and how it fits their UI—think advanced theming, seamless UX, and granular configuration. Give your users the in-app analytics experience they deserve ?? Get all the details and try it now: https://lnkd.in/ea_UpJbn

Cam, Founding Engineer and Chief Architect, chatted with FRESHCODE about one of his favorite topics: Clojure! He delves into the world of Clojure, sharing Metabase's journey and why we chose it as our core language. Some key takeaways: ??? Why Clojure??Deployment simplicity, rapid prototyping, developer preference (and avoiding Java!) were the major selling points. ??? Hiring for Clojure:?Turns out it's a benefit! Attracts curious, problem-solving engineers. ??? Over-engineering:?A candid discussion about flexibility and avoiding unnecessary complexity. ??? The Future of Clojure:?Stability is a strength, and community growth is key. Listen to the full podcast here: https://lnkd.in/d9VvQicq

You've built an amazing product with Next.js, and now you need to surface data to your users? ?? In this video, Matthew shows you how you can do that with the Embedded Analytics SDK by setting up our sample app, so you can see the SDK in action.

Read how I built a personal analytics system to record stuff like my workout sessions, weight and journal entries in my latest medium post: https://lnkd.in/df7hdCQg Using my own app, Bitacora, for data insertion, Supabase for the cloud database and Metabase for data exploration and live dashboards.

???? Understanding trends in your Google Reviews with Metabase Google Reviews are a goldmine of customer feedback - but what if you could dive even deeper? Here’s the story of how South Shore Analytics helped a company in the Restaurant & Convenience industry use Metabase to gain real-time insights from their Google Reviews and take immediate action. ??????????? ?????? ?????? ??????????????????? The company wanted to understand trends in customer feedback while quickly navigating to specific reviews that need attention. Without a way to filter and analyze reviews, they risked missing critical insights. ?? ?????? ???????????????? ?????????? Metabase makes it easy to analyze Google Reviews to spot key trends. You can filter reviews by star rating or category and track rating changes over time to catch trends early. You can also set up alerts to catch key shifts early, like locations with declining ratings or consistently high reviews. ?? ?????????? ???????????????? South Shore Analytics set up the following stack to pull in and analyze client data (including Google Reviews): ◆ Airbyte: configuring and managing the data pipelines ◆ Google BigQuery: storing both the raw and structured data tables? ◆ dbt Labs: transforming the raw data ◆ Metabase: data visualization & drill-through analytics ?? ?????? ???????????????? ◆ Drill into details: click any segment of the visualization to explore actual reviews ◆ Identify trends: aggregate and compare ratings across multiple locations ◆ Take action fast: equip teams with data-driven insights to respond to customers Metabase’s filtering and visualization possibilities make Google Reviews more than just feedback - they become an actionable data asset. #DataAnalytics #BusinessIntelligence #GoogleReviews #Metabase

Helping someone get started working with data? Send them our guide to the data landscape to get them up to speed in an afternoon: https://buff.ly/jaZ0kgX

Intuit QuickBooks is a powerhouse for accounting, and when you pair it with Metabase, you get a whole new level of financial insight and analysis. Dan Yost, TRI8's President and Metabase Expert, explains how to uncover hidden trends, gain actionable insights, and drive your business forward Quickbooks and Metabase by focusing on the right data, catching anomalies early, and other best practices. https://lnkd.in/ejS9q6Rj

What's new in Metabase 53? If you missed the webinar (or just feel like giving it another watch), now’s your chance! Tune in to learn all about dynamic iframe cards, preemptive caching, updates to the query builder, and much more.

Your product is taking off, and your users are asking for?data—dashboards, reports, insights ??. You know analytics is a must-have, but you also know building them isn’t a walk in the park. That’s where the?new Embedded Analytics SDK??? comes in. It’s built for teams like yours who need to provide?seamless, in-app analytics?without spending months on development. Swipe through the carousel for a quick look at what’s possible with the SDK ?? Docs: https://lnkd.in/ejSSe_2n

?? How I Automated My House Hunt with a Telegram Bot, DuckDB, and Metabase ???? Manually checking property listings every day? No thanks. Instead, I built a fully automated system that scrapes new properties, sends them to me via Telegram, and stores them in MotherDuck for analysis. ?? The stack: ? Scraping: Python + BeautifulSoup ? Notifications: Telegram bot ? Storage: MotherDuck (DuckDB in the cloud) ? Data Cleaning: SQLMesh by Tobiko (bye-bye 10M€+ auction glitches) ? Visualization: Metabase dashboard Now, instead of refreshing a website like a caveman, I track trends, filter junk, and get alerts—all hands-free. ?? Next steps? Maybe enriching data with more info, like schools around, supermarkets and things like that or creating alerts for properties matching specific criteria. The possibilities are endless. As someone managing data teams by day, building this project reminded me of a few things: - Hands-on work keeps you sharp: Too many data leaders forget what it’s like to build something from scratch. - Simple systems are maintainable systems: Every time I was tempted to add complexity, I asked, “Will this actually help me buy a property in Italy?” - Personal projects let you experiment fast: I tested MotherDuck and SQLMesh here before considering them for work projects. Want to see how I built it? A post on my blog plus the code and a link to the dashboard are in the first comment! #DataEngineering #Automation #RealEstateTech #DuckDB #Metabase #SQLMesh