How Companies use Metabase

Metabase can be used in a variety of ways, ranging from an easy-to-install interface to run SQL queries when you’re a solo engineer starting a new project, to a company-wide business intelligence system. We’ve been talking to a number of happy Metabase users and telling their stories here. Read on below to learn what kinds of data Metabase can be used with, what kinds of questions are commonly answered using Metabase, and the variety of industries Metabase is being used across.

Case Studies

Alien.ai
- Alien Labs uses Metabase with their application database and interaction event data
- Engineers use Metabase’s SQL interface while their designer and product person uses the GUI query builder and reuses SQL reports.
- Commonly asked questions include
  - “What were the most active users?”
  - “What commands did they run?”
  - Looking up customers’ activity when they call into support with a problem.
Anghami
- Anghami uses Metabase to understand their data about user profiles, subscriptions and music streams.
- Metabase is used across most of the company — Exec’s, Marketing, Advertising, Content, Financial, BizDev, Web Engineering and Backend Engineering all use it.
- Commonly asked questions include
  - “How many listeners did artist X reach last month?”
  - “How many subscriptions did we sell last month?”
  - “How many plays did the new release from artist X get in its first day?”
  - “Who are the currently trending artists?”
GO-JEK
- GO-JEK is using Metabase on top of both raw data from their microservices as well as on a larger data warehouse in Google Cloud.
- Metabase is used by thousands of people in the company, including the BI, Customer Care, Fraud Prevention, and Onboarding teams.
- Commonly asked questions include
  - “How many active drivers were there today?”
  - “How many open customer support tickets do we have?”
  - “How often is this new feature being used?”
N26
- N26 uses a data warehouse with application and interaction data
- Metabase is used across the company — BizDev, Operations, Product Management, Design and other departments
- Commonly asked questions include
  - “How many credit cards were reordered last month?”
  - “How many accounts were opened in July?”
  - “What were the top performing marketing campaigns this summer?”
PaperCut
- PaperCut uses Metabase to analyze order and license subscription data
- Metabase is used across the company — by Engineering, Sales and Marketing
- Commonly asked questions include
  - “How many device licenses did we sell in each region?”
  - “What percentage of printers sold in the US have PaperCut installed?”
  - “Who was our top reseller in Europe last year?”
Serenata Flowers
- Serenata Flowers uses Metabase to provide company-wide analytics.
- Metabase is used across the company in most departments
- Commonly asked questions include
  - “What was the refund rate per customer service representative?”
  - “How many coupons were redeemed last week?”
  - “Sales report”
  - “Conversion report”
  - “Stock report”
  - “Reviews stats and warning of poor performing items”
  - “Margin report”
  - “What percentage of sales were up-sells?”
SYNQ
- SYNQ uses Metabase to analyze their video API usage and activity.
- The developers use the flexible SQL interface, while Sales and Marketing use predefined questions or the GUI query builder.
- Commonly asked questions include
  - “How many videos were uploaded the last 30 days?”
  - “What is the number of uploaded videos per user the last 24 hours?”
  - “What is the average video transcoding time the last 24 hours? “
  - “How many Webhook requests have failed the last 24 hours?”
Treebo Hotels
- Treebo Hotels is using Metabase to analyze data in their Redshift data warehouse, as well as several application RDS read replicas and an in-memory datastore for real-time analytics.
- Over 400 people at Treebo use Metabase on a daily basis.
- Common uses are:
  - Tracking company-wide metrics on dashboards
  - Pushing daily KPI updates to different teams via pulses
  - Allowing individuals to perform exploratory analysis