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Quo vadis, Data Open source
A case study and review based on the examples of Snowplow, dbt, Rudderstack, and Iceberg
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timo dechau 🕹🛠
3
August 2023
After the Modern Data Stack: Welcome back, Data platforms
And no, there is no one way to what is next, we have 1000+ of ways.
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timo dechau 🕹🛠
July 2023
Use feature analytics for better products
We are not building something for the fun here
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timo dechau 🕹🛠
What is beyond event data?
When Data Events are iron, Activities are your steel-building parts.
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timo dechau 🕹🛠
6
June 2023
The Go-To Metrics for Data Products: Start with These Few
We are talking about data products, so of course we should speak about metrics
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timo dechau 🕹🛠
Leaving product analytics
an analysis of the current state of product analytics and beyond
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timo dechau 🕹🛠
18
May 2023
The extensive guide for Server-Side Tracking
Take control where you create your event data
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timo dechau 🕹🛠
2
Ways to solve the data user identity & privacy crisis
Why we should think beyond using user ids for everything
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timo dechau 🕹🛠
April 2023
Here is your stack of salt for reading or watching data content
You will need more than just a few grains
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timo dechau 🕹🛠
March 2023
Tracking/Measurement/Collection/Creation - what was the question again?
Trying to define something that needs definition but has a history that can't be changed easily.
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timo dechau 🕹🛠
2
Retention Analytics - the definitive guide
There just one thing to learn in product analytics - unfortunately it takes a bit
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timo dechau 🕹🛠
February 2023
Why product analytics is completely different than BI
When explorers meet structured formats
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timo dechau 🕹🛠
2
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