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#123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu)
Full show notes, transcript and AI chatbot - http://bit.ly/3FX0G7s
Watch on YouTube - https://youtu.be/l6F_9ZfHxJc
Webinar sign-up link: http://bit.ly/4ehrs7m
00:00:00 Google Cloud outage consequences
00:05:09 Google Search AI integration
00:09:50 Shopping journey optimisation
00:10:56 Martech madness webinar promo
00:11:36 Martech stack challenges and solutions
00:16:25 Warehouse native analytics solution
00:22:37 Data warehousing accessibility and democratisation
00:24:37 Data warehouse monetisation challenges
00:29:10 Transitioning to a data warehouse
00:32:45 Data integration process explained
00:36:17 SQL optimisation without LLMs
00:39:23 Data quality and user trust
00:45:13 Product and marketing analytics overlap
00:49:21 Data warehouse analytics revolution
00:51:46 Data privacy in tech solutions
00:56:41 Cat logo branding significance
00:59:40 AI in SQL queries
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Episode Summary:
In this episode of The Measure Pod, Dara and Matt are joined by István Mészáros, founder and CEO of Mitzu — a company who have built a warehouse-native product analytics solution. They explore who this approach is really for, what it offers teams that traditional tools don’t, and the challenges companies face when making the shift. Expect an honest discussion about trade-offs, technical friction, and why warehouse-native is becoming a serious contender in the analytics space.
-----
About The Measure Pod:
The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.
-----
If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!
The post #123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu) appeared first on Measurelab.
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By MeasurelabFull show notes, transcript and AI chatbot - http://bit.ly/3FX0G7s
Watch on YouTube - https://youtu.be/l6F_9ZfHxJc
Webinar sign-up link: http://bit.ly/4ehrs7m
00:00:00 Google Cloud outage consequences
00:05:09 Google Search AI integration
00:09:50 Shopping journey optimisation
00:10:56 Martech madness webinar promo
00:11:36 Martech stack challenges and solutions
00:16:25 Warehouse native analytics solution
00:22:37 Data warehousing accessibility and democratisation
00:24:37 Data warehouse monetisation challenges
00:29:10 Transitioning to a data warehouse
00:32:45 Data integration process explained
00:36:17 SQL optimisation without LLMs
00:39:23 Data quality and user trust
00:45:13 Product and marketing analytics overlap
00:49:21 Data warehouse analytics revolution
00:51:46 Data privacy in tech solutions
00:56:41 Cat logo branding significance
00:59:40 AI in SQL queries
-----
Episode Summary:
In this episode of The Measure Pod, Dara and Matt are joined by István Mészáros, founder and CEO of Mitzu — a company who have built a warehouse-native product analytics solution. They explore who this approach is really for, what it offers teams that traditional tools don’t, and the challenges companies face when making the shift. Expect an honest discussion about trade-offs, technical friction, and why warehouse-native is becoming a serious contender in the analytics space.
-----
About The Measure Pod:
The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.
-----
If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!
The post #123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu) appeared first on Measurelab.
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