Tracking data quality with Avo in a nutshell

Improve your data quality and avoid downstream issues with Avo. Join our video course to get a walk-through of Avo's features and learn how to create events and properties.

Skill Level
Time to Complete
1 hour
Tracking design 101

About this course

Tracking data quality has at least two different shapes:
- technological issues
- semantic issues

Let's focus on the semantic issues here. Wrong naming, types, or values can cause serious issues downstream. And let's not forget the significant issue: Events tracked that never have been defined and agreed on (the classic PMs go rouge issue).
Avo is a tool that can help you with that. It lets you:
- collaborate on your tracking plan, event definition, properties
- validate the data and warn you
- generate SDKs based on your tracking plan so developers get a nice type-safe
In this course, I give you a walk-through of what you can do with Avo and a first impression of how you create events and properties.

Who is this course for

Product Analyst
You are the product data detective (Mrs. or Mr. Holmes), using your analytical skills to uncover insights from your products. You help businesses make strategic decisions and drive growth by identifying trends and patterns in the data.
Web Developer
You are the one who makes sure the website collects all the juicy data on who's visiting, where they're coming from, and what they're up to. You are the creative geniuses who use their coding skills to make your website look amazing and tracking just works.
Product Manager
As a product manager who works with data, you are like a digital wizard, using your magical powers to predict what our customers need. You spend your days analyzing numbers and making recommendations to improve our products.


The choice is yours - you can either immerse yourself and complete the course in one go, or take a more gradual approach by repeating and skipping between lessons at your own pace.


The best way to learn is by taking action, so it's time to get ready to work.
Here are some of the things you'll get out of doing this course:
Improve tracking data quality by avoiding semantic issues caused by naming, types, or values
Collaborate effectively on tracking plans, event definitions, and properties
Validate data to prevent downstream issues
Generate SDKs based on your tracking plan, providing developers with a type-safe experience
Gain a comprehensive understanding of Avo's features
Learn how to create events and properties
Streamline tracking processes and improve data quality

Why learn with Deepskydata?

We understand the struggle because we've once been in your shoes. Allow us to share what we know now to help you reach your destination with ease and make your learning journey smoother.
Shortcut to success
Get hands-on shortcuts across the data stack with our how-to videos, saving you time and resources on testing and debugging - where 90% of the work lies.
A new community
Rolling out in early 2023 the new community will bring you together with data practitioners who are on the same track, with the same struggles to share experiences.
We are here for you
This is not a watch and forget platform. We are here to help you. Do you have questions after watching a course - just get in touch with us.


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Timo Dechau
Founder & Data Engineer