Artwork

Innhold levert av deepskydata and Timo Dechau - deepskydata. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av deepskydata and Timo Dechau - deepskydata eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

Behavioral data should be free and transparent - with Yali Sassoon from Snowplow Analytics

40:06
 
Del
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on February 26, 2024 18:24 (7M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 323858604 series 3332241
Innhold levert av deepskydata and Timo Dechau - deepskydata. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av deepskydata and Timo Dechau - deepskydata eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What if you had created a product 10 years ago that perfectly fits into today’s world because it has all the ingredients we are looking for in data collection:
- privacy first
- data ownership & transparency
- open source

But let’s correct one thing. We are not simply talking about data collection. We speak about generating high-quality behavioral data.

And of course, we are speaking about: Snowplow.

Yali Sassoon joined me in the first episode of the “Meet the analytics stack” podcast.

We talked about the origins of Snowplow. It was created in a world where closed and inaccessible analytics systems like Google Analytics and Omniture (now Adobe Analytics) ruled the space.
So Snowplow should be open and transparent from day 1. It started as an open-source project, and it still is until today.

It focuses on generating high-quality behavioral data:
- with data pipelines you own and control
- data enrichments you own and control
- well defined schemas, so you only receive the data you would expect.

Snowplow had all the ingredients from day one that we are looking for today in a GDPR world where data becomes a core asset, and parts of the data stack become critical infrastructure.

Generating and collecting event data is a critical part of a data stack, so using an open-source solution here has plenty of benefits instead of a closed system.

And if you don’t want to manage it, Snowplow is offering their behavioral data platform where they collect your Snowplow instance in your cloud project/account (yes, you are reading the right thing, in yours, not their).

Enjoy the first episode of the new podcast - Meet the analytics stack.

For upcoming episodes, follow the podcast page on LinkedIn and, most importantly, subscribe to the show wherever you listen to podcasts.

  continue reading

9 episoder

Artwork
iconDel
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on February 26, 2024 18:24 (7M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 323858604 series 3332241
Innhold levert av deepskydata and Timo Dechau - deepskydata. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av deepskydata and Timo Dechau - deepskydata eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What if you had created a product 10 years ago that perfectly fits into today’s world because it has all the ingredients we are looking for in data collection:
- privacy first
- data ownership & transparency
- open source

But let’s correct one thing. We are not simply talking about data collection. We speak about generating high-quality behavioral data.

And of course, we are speaking about: Snowplow.

Yali Sassoon joined me in the first episode of the “Meet the analytics stack” podcast.

We talked about the origins of Snowplow. It was created in a world where closed and inaccessible analytics systems like Google Analytics and Omniture (now Adobe Analytics) ruled the space.
So Snowplow should be open and transparent from day 1. It started as an open-source project, and it still is until today.

It focuses on generating high-quality behavioral data:
- with data pipelines you own and control
- data enrichments you own and control
- well defined schemas, so you only receive the data you would expect.

Snowplow had all the ingredients from day one that we are looking for today in a GDPR world where data becomes a core asset, and parts of the data stack become critical infrastructure.

Generating and collecting event data is a critical part of a data stack, so using an open-source solution here has plenty of benefits instead of a closed system.

And if you don’t want to manage it, Snowplow is offering their behavioral data platform where they collect your Snowplow instance in your cloud project/account (yes, you are reading the right thing, in yours, not their).

Enjoy the first episode of the new podcast - Meet the analytics stack.

For upcoming episodes, follow the podcast page on LinkedIn and, most importantly, subscribe to the show wherever you listen to podcasts.

  continue reading

9 episoder

Toate episoadele

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett