Explore by category:
Get the customer data and insights you need automatically filtered and ready for use within your support tickets. You can also embed a dashboard in Salesforce, Stripe, Jira, or platforms that allow embedding URLs.
‧ 4 min read
If you don't understand data roles enough to scope job descriptions or workload, get ready for burnout, turnover, and the death of company-wide data culture. Our data team offers some advice on how to build a healthy data team.
‧ 6 min read
We talked with Amogh Sarda and Ali Baghshomali about common horror data stories in startups and how to avoid them. Read on to learn about the best practices for establishing product events management and upscaling from spreadsheets to the BI.
‧ 6 min read
You may have plenty of product management tools at your disposal, but really getting to know your product data and customers is still a challenge. Learn how Metabase can help your product team make smarter data-driven decisions without relying exclusively on event instrumentation.
‧ 3 min read
Your data isn't infallible, but it takes practice to get comfortable interrogating that data when you get an unexpected result. Learn how you can hone your data intuition and keep cool in the face of fluctuating numbers.
‧ 3 min read
Creating effective charts and dashboards isn't always intuitive for those outside the analyst bubble. We've pulled together some tips to help you make sure your data visualizations are the best they can be.
‧ 3 min read
You've heard that customer lifetime value (LTV) is an important metric, but how exactly are you supposed to know what formula to use? This article offers a simple LTV formula for SaaS companies, along with use cases for the metrics and common pitfalls people encounter when working with LTV.
‧ 5 min read
Data viz is all about communicating the right story. Line charts are a reliable standby, but it's good to have options. Read on for tips and examples about when to use scatterplots, progress bars, and more.
‧ 4 min read
To the uninitiated, BI career paths may sound a lot alike. We've written up an explainer on the difference between the following common roles within data teams: data analyst, data scientist, BI developer, data engineer, and analytics engineer.
‧ 6 min read
Dec 2024
A lite Metabase release that still manages to pack a punch - just in time for the end of the year!
Nov 2024
A bunch of new stuff to help your team make the most of your data: viz upgrades, revamped metrics, more tools to manage accounts and keep your Metabase tidy, and a lot more.
Aug 2024
New features and improvements to query and present your data, navigate to find and file stuff faster, manage permissions, and keep everything organized.
2024
2024
2023
2023
2023
2023
2023
2022
2022
2022
2022
2022
2022
2021
2021
2021
Dec 2024
A lite Metabase release that still manages to pack a punch - just in time for the end of the year!
Nov 2024
A bunch of new stuff to help your team make the most of your data: viz upgrades, revamped metrics, more tools to manage accounts and keep your Metabase tidy, and a lot more.
Aug 2024
New features and improvements to query and present your data, navigate to find and file stuff faster, manage permissions, and keep everything organized.