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