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Sisällön tarjoaa deepskydata - Timo Dechau and Deepskydata - Timo Dechau. deepskydata - Timo Dechau and Deepskydata - Timo Dechau tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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01 - The history of Google Analytics 4 or basically the history of Google Analytics

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Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on September 28, 2024 10:10 (1M ago). Last successful fetch was on February 27, 2024 05:53 (8M ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 319390173 series 3307156
Sisällön tarjoaa deepskydata - Timo Dechau and Deepskydata - Timo Dechau. deepskydata - Timo Dechau and Deepskydata - Timo Dechau tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Really, Google Analytics is 16 years old. Yes, it is. With 16 in most cultures you can already do a lot of things. Driving a car, vote, drink alcohol (often not a great idea), starting a job. So, you can start to call yourself mature (at least a little bit). Google Analytics is a mature software. But why is this software doing such a huge remodelling like they do it now with Google Analytics 4. History can help us to understand it better. It's also the history of web analytics (and app analytics). Which helps us to understand why specific data models are different (pageviews vs events). And how much effort went into the development of analytics solutions as we know them today. For Google Analytics it's the history of a data model which was great for the web 1.0 world. And also a history of a data model that was build for the new app-driven world and how both models are merged to become Google Analytics 4. Sounds like a blockbuster? Trust me it is one.
  continue reading

3 jakso

Artwork
iconJaa
 

Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on September 28, 2024 10:10 (1M ago). Last successful fetch was on February 27, 2024 05:53 (8M ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 319390173 series 3307156
Sisällön tarjoaa deepskydata - Timo Dechau and Deepskydata - Timo Dechau. deepskydata - Timo Dechau and Deepskydata - Timo Dechau tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Really, Google Analytics is 16 years old. Yes, it is. With 16 in most cultures you can already do a lot of things. Driving a car, vote, drink alcohol (often not a great idea), starting a job. So, you can start to call yourself mature (at least a little bit). Google Analytics is a mature software. But why is this software doing such a huge remodelling like they do it now with Google Analytics 4. History can help us to understand it better. It's also the history of web analytics (and app analytics). Which helps us to understand why specific data models are different (pageviews vs events). And how much effort went into the development of analytics solutions as we know them today. For Google Analytics it's the history of a data model which was great for the web 1.0 world. And also a history of a data model that was build for the new app-driven world and how both models are merged to become Google Analytics 4. Sounds like a blockbuster? Trust me it is one.
  continue reading

3 jakso

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