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#88 Analytics as a data product (with Weiting Xu @ Cazoo)
Full show notes, transcript and (NEW!) AI chatbot - https://bit.ly/4669rE7.
00:00 Intro.
01:05 Data analysis as a product.
05:02 Analytics as a data product.
06:48 Advanced analytics and data science.
10:44 Organizing data products.
14:21 Managing people's expectations.
18:15 Data product maturity.
22:41 Operational model and analytics engineering.
24:36 Productizing analytics and adoption.
28:06 Admin stuff and backlog management.
30:23 Agile coaching and Jira best practices.
36:19 User experience for stakeholders.
37:20 Positive user experience and documentation.
41:42 Battle of the hearts.
43:29 Monetizing analytics as a product.
47:18 Hair grip revelation.
-----
Episode Summary:
In this week's episode, we dive into the fascinating world of analytics as a data product. Our guest, Weiting Xu, shares their insights and experiences as the head of data at Kazoo, a company that sells used cars online. We explore the challenges of treating analytics as a product, especially when it comes to managing internal users and their ever-changing needs. We discuss the importance of observability, the role of a product manager in the analytics space, and the need for agile ways of working.
-----
Quotes of the Episode:
"I think that there's been a bit of a mindset shift in the analytics space to start to think about analytics [as a data product]. So like, what are the analytics products within the space and who are the consumers of those products?" - Weiting
"This is where product thinking does start to show its strengths because you then can do things like stand ups and retros to understand what worked, what didn't work, which typically you wouldn't do if you weren't operating in that sort of like product mindset." - Bhav
"There is a genuine risk of any change. Specifically when we're coming to look at processes or frameworks, it's just perceived as additional admin or a blocker for me doing my job or me doing the thing I want to do or have been doing, whether it's efficient or not." - Dan
-----
About The Measure Pod:
The Measure Pod is a weekly podcast hosted by veteran practitioners of the marketing and product analytics industry. Join Dan and Dara from Measurelab, Bhav from CRAP Talks and the occasional guest on their quest to make sense of the analytics industry, and have some fun along the way.
-----
If you liked this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform and leave us a review. Let's make sense of the analytics industry together!
The post #88 Analytics as a data product (with Weiting Xu @ Cazoo) appeared first on Measurelab.
View all episodes
By MeasurelabFull show notes, transcript and (NEW!) AI chatbot - https://bit.ly/4669rE7.
00:00 Intro.
01:05 Data analysis as a product.
05:02 Analytics as a data product.
06:48 Advanced analytics and data science.
10:44 Organizing data products.
14:21 Managing people's expectations.
18:15 Data product maturity.
22:41 Operational model and analytics engineering.
24:36 Productizing analytics and adoption.
28:06 Admin stuff and backlog management.
30:23 Agile coaching and Jira best practices.
36:19 User experience for stakeholders.
37:20 Positive user experience and documentation.
41:42 Battle of the hearts.
43:29 Monetizing analytics as a product.
47:18 Hair grip revelation.
-----
Episode Summary:
In this week's episode, we dive into the fascinating world of analytics as a data product. Our guest, Weiting Xu, shares their insights and experiences as the head of data at Kazoo, a company that sells used cars online. We explore the challenges of treating analytics as a product, especially when it comes to managing internal users and their ever-changing needs. We discuss the importance of observability, the role of a product manager in the analytics space, and the need for agile ways of working.
-----
Quotes of the Episode:
"I think that there's been a bit of a mindset shift in the analytics space to start to think about analytics [as a data product]. So like, what are the analytics products within the space and who are the consumers of those products?" - Weiting
"This is where product thinking does start to show its strengths because you then can do things like stand ups and retros to understand what worked, what didn't work, which typically you wouldn't do if you weren't operating in that sort of like product mindset." - Bhav
"There is a genuine risk of any change. Specifically when we're coming to look at processes or frameworks, it's just perceived as additional admin or a blocker for me doing my job or me doing the thing I want to do or have been doing, whether it's efficient or not." - Dan
-----
About The Measure Pod:
The Measure Pod is a weekly podcast hosted by veteran practitioners of the marketing and product analytics industry. Join Dan and Dara from Measurelab, Bhav from CRAP Talks and the occasional guest on their quest to make sense of the analytics industry, and have some fun along the way.
-----
If you liked this episode, don't forget to subscribe to The Measure Pod on your favorite podcast platform and leave us a review. Let's make sense of the analytics industry together!
The post #88 Analytics as a data product (with Weiting Xu @ Cazoo) appeared first on Measurelab.
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