Analytics with Metabase
Guidance on data analysis, modeling, and making better data-driven decisions.
Which data warehouse should you use?
Which data warehouse you choose depends on how much data you're wrangling. This guide walks you through your options, whether you're a small startup or a large enterprise.
8 min read
Managing your information budget
Wanting more data on something can sometimes become an excuse to avoid making any decisions at all.
2 min read
Don't use "data" as a crutch for lazy thinking
Figure out what you really mean when you talk about data.
3 min read
Common data model mistakes made by startups
Data modeling is hard. Here are some missteps to avoid when you're developing your models.
4 min read
Ten common analytics mistakes startups make
You're going to make mistakes when bootstrapping your analytics. Here's how to make fewer mistakes.
4 min read
The five stages of embedding grief
So you want to put data in front of your customers... but at what cost?
3 min read
The push and pull of analytics
How to foster a culture that uses data to inform its decisions.
8 min read
ETLs, ELTs, and Reverse ETLs
How to bring data from multiples sources into your data warehouse, then how to operationalize that data by pushing your insights to where you can make use of them.
7 min read