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How to measure a data platform?
Product analytics for data products
 • 
timo dechau 🕹🛠
1

February 2024

Eventify everything - Data modeling for event data
An introduction
 • 
timo dechau 🕹🛠
2

November 2023

Everyone is a CDP now
but what does that even mean?
 • 
timo dechau 🕹🛠
11

October 2023

Data pipeline orchestrators - the emerging force in the MDS?
The one who controls the flow controls everything
 • 
timo dechau 🕹🛠
2

September 2023

About Data User Experience
Maybe we have ignored this for too long
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timo dechau 🕹🛠
Quo vadis, Data Open source
A case study and review based on the examples of Snowplow, dbt, Rudderstack, and Iceberg
 • 
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.
 • 
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 🕹🛠
7

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
 • 
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
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