Learn Analytics with Metabase Topic Analytics with Metabase Guidance on data analysis, modeling, and making better data-driven decisions. Articles Article 1 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. Read more Article 2 Managing your information budget Wanting more data on something can sometimes become an excuse to avoid making any decisions at all. Read more Article 3 Don't use "data" as a crutch for lazy thinking Figure out what you really mean when you talk about data. Read more Article 4 Common data model mistakes made by startups Data modeling is hard. Here are some missteps to avoid when you're developing your models. Read more Article 5 Ten common analytics mistakes startups make You're going to make mistakes when bootstrapping your analytics. Here's how to make fewer mistakes. Read more Article 6 The five stages of embedding grief So you want to put data in front of your customers... but at what cost? Read more Article 7 The push and pull of analytics How to foster a culture that uses data to inform its decisions. Read more Article 8 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. Read more
