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In-Ear Insights: What is Generative Analytics?
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative analytics, a new way to use AI to get more from your data. Discover why simply collecting data isn’t enough and how generative analytics helps you uncover actionable insights. Learn practical ways to apply this approach to your marketing efforts and avoid common analysis pitfalls. Finally, understand the importance of good data governance for getting accurate results from any AI-powered tool.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-what-is-generative-analytics.mp3
Download the MP3 audio here.
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Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher Penn – 00:00
In this week’s In Ear Insights, let’s talk about a term you probably haven’t heard yet: generative analytics. Now, before I dig into what that means, Katie, what does that mean to you when you hear that term?
Katie Robbert – 00:19
It sounds akin to predictive analytics, where there’s some kind of machine learning involved. It sounds like perhaps we’re going to be using generative AI to make up data, which is probably incorrect. I don’t know. But yeah, that’s what it sounds like. We’re going to make some stuff up.
Christopher Penn – 00:50
I mean, when it comes to analytics, generally making stuff up is not the first choice in the context of what we do at Trust Insights and what we’d like to see more people do. Generative analytics is the use of generative AI to process analytics data and answer the question “so what?” There is so much data. We are drowning in data. We’ve got Google Analytics and your marketing automation and your CRM and your customer service.
There’s so much data, and we don’t really look at it. Or if we do look at it, we put it in PowerPoint slides and binders and look at it once. We go, “Huh, that looks good.” And then we never do anything with it. It just goes on a shelf.
Christopher Penn – 01:37
Generative analytics—at least in the way I’m defining it in today’s show—is the use of generative AI to answer the question “so what?” And then answer the question “now what?” “Hey, the website went up last week.” “Okay, so what?” “Well, it was probably because of this. What are we going to do about it? Do more of this?” That’s kind of the idea behind it.
Katie Robbert – 02:03
I think the term analysis paralysis is what comes to mind. I was talking with someone recently, and she quoted to me, she’s like, “Back when there was big data and everybody was collecting all of their data.” And I just kind of had to laugh a little bit. I’m like, “That’s just a fancy marketing term for ‘let’s just try to get our h
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By Trust Insights
5
99 ratings
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative analytics, a new way to use AI to get more from your data. Discover why simply collecting data isn’t enough and how generative analytics helps you uncover actionable insights. Learn practical ways to apply this approach to your marketing efforts and avoid common analysis pitfalls. Finally, understand the importance of good data governance for getting accurate results from any AI-powered tool.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-what-is-generative-analytics.mp3
Download the MP3 audio here.
[podcastsponsor]
Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher Penn – 00:00
In this week’s In Ear Insights, let’s talk about a term you probably haven’t heard yet: generative analytics. Now, before I dig into what that means, Katie, what does that mean to you when you hear that term?
Katie Robbert – 00:19
It sounds akin to predictive analytics, where there’s some kind of machine learning involved. It sounds like perhaps we’re going to be using generative AI to make up data, which is probably incorrect. I don’t know. But yeah, that’s what it sounds like. We’re going to make some stuff up.
Christopher Penn – 00:50
I mean, when it comes to analytics, generally making stuff up is not the first choice in the context of what we do at Trust Insights and what we’d like to see more people do. Generative analytics is the use of generative AI to process analytics data and answer the question “so what?” There is so much data. We are drowning in data. We’ve got Google Analytics and your marketing automation and your CRM and your customer service.
There’s so much data, and we don’t really look at it. Or if we do look at it, we put it in PowerPoint slides and binders and look at it once. We go, “Huh, that looks good.” And then we never do anything with it. It just goes on a shelf.
Christopher Penn – 01:37
Generative analytics—at least in the way I’m defining it in today’s show—is the use of generative AI to answer the question “so what?” And then answer the question “now what?” “Hey, the website went up last week.” “Okay, so what?” “Well, it was probably because of this. What are we going to do about it? Do more of this?” That’s kind of the idea behind it.
Katie Robbert – 02:03
I think the term analysis paralysis is what comes to mind. I was talking with someone recently, and she quoted to me, she’s like, “Back when there was big data and everybody was collecting all of their data.” And I just kind of had to laugh a little bit. I’m like, “That’s just a fancy marketing term for ‘let’s just try to get our h
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