Matter Saves 30% of Growth Budget with Data-Driven Decisions Using Metabase
Customer Company Size
Startup
Region
- America
Country
- United States
Product
- Metabase
- AWS RDS Postgres
- AWS SQS
Tech Stack
- AWS
- Postgres
- NodeJS
- Serverless
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Functions
- Business Operation
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
About The Customer
Matter is a startup based in San Francisco, USA, specializing in IT and software. They offer a free Slack app that facilitates team recognition through Kudos, rewards, and continuous feedback, all integrated within Feedback Friday. With a team of over 10 employees, Matter aims to foster a feedback-focused culture. They have been recognized as Product Hunt’s social impact product of the year, highlighting their commitment to enhancing team dynamics and productivity.
The Challenge
Matter faced challenges in making their data accessible to team members. Accessing data was complex, often involving database connection troubleshooting. They lacked a defined process for data availability, which led to many unanswered questions. With a focus on acquisition and North Star metrics, Matter realized the need for a BI tool. They had previously used tools like Google Data Studio, Tableau, and Looker but sought a more suitable solution.
The Solution
Matter adopted Metabase, a BI tool, to streamline data access and analysis. A team member familiar with Metabase recommended it, and its installation was straightforward. Matter uses a self-hosted version on AWS, with a read-only replica of their Postgres server. The tool's ease of use, pricing, and integration capabilities made it an ideal choice. Metabase enabled Matter to build dashboards and reports, providing clarity on user acquisition, retention, engagement, monetization, and referral metrics. The engineering team prepares company-wide dashboards, while individual teams create reports to address specific questions.
Operational Impact
Quantitative Benefit
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