#90 Self-serve analytics: yay or nay

The Measure Pod

Full show notes, transcript and (NEW!) AI chatbot - https://bit.ly/3FxOPch.

00:00 Intro.
00:28 Self-serve analytics failure.
03:20 Self-serve analytics debate.
07:16 Data democratisation and self-service.
09:41 People misusing self-serve analytics.
13:14 Self-serve data analysis.
16:49 Self-serve analytics challenges.
18:10 Data literacy.
21:11 Overcoming learning challenges.
24:01 Understanding what people want.
26:01 Centralised document for company questions.
29:23 Self-serve analytics solution.
32:00 Pursuit of self-serve culture.
36:00 AI in self-serve analytics.
38:33 How to ask better questions.
40:24 Predefined list of curated questions.
43:05 Retention and success metrics.
46:21 The pursuit of self-servant data democratisation.
49:13 Suggest a topic or guest.

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Episode Summary:

In this week's episode of The Measure Pod, Bhav reflects on his biggest career failure: self-serve analytics. They discuss the challenges and complexities of implementing self-serve analytics in organisations, highlighting the factors that contribute to its success or failure. Bhav emphasises the importance of trust, data literacy, and problem-solving skills in enabling individuals to effectively use self-serve analytics tools. They also share personal experiences and strategies for promoting data democratisation and creating a culture of self-serve analytics.

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Quotes of the Episode:

"...this topic and the whole concept of self serve has been one of the biggest failures of my entire career spanning like 10, 11, 12 years." - Bhav

"...self service doesn't equal self sufficiency." - Dara

"...when marketers are always talking about like impressions and clicks as KPIs, I'm like, it means absolutely nothing. And like, you know, downloads of a podcast means nothing." - Dan

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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.

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