![]() If learning SQL seems like too much of a lift, you can also lean on BI tools like Tableau and Chartio that specialize in providing drag-and-drop reporting on top of SQL databases. It's not trivial to figure these questions out in SQL, and the out-of-the-box analytics tools will get you your answers much faster - it just takes a few clicks.īut at what point does it make sense to use SQL? The section below enumerates reasons why people migrate off these hosted tools to SQL databases/BI tools like Looker, Mode, and Periscope. Which features are customers using? Which ones are they not?ĭid people who signed up around our funding announcement act the same as other cohorts? Where are the key points people drop off in my funnel? Which sites send us the highest converting traffic? With these types of tools you can answer the following questions: They'll help you analyze trends, usage patterns, cohort and funnel analysis, etc. Services like Google Analytics, Mixpanel, and Amplitude are great for basic product and marketing questions. This is preferable, because you want to move fast and let those tools do all of the heavy lifting! If your product or business is young, you probably should leave it be and answer all of your questions from a set of event analytics and reporting tools. Hopefully, you're owning (or at least have access to) your raw customer data, even if you don't need to directly query it just yet. Out-of-the-box tools can get most of the job done ![]() In this lesson, we'll talk about one of the main ways of analyzing raw data- SQL-and when it's appropriate to use it. In our lesson about owning your own data, we shared some easy ways to get your hands on your raw customer data. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |