Datorama
company on 2 shows · 5 statements across 1 episodes · said 18 times in 4 episodes since 2016
the MAD Podcast 14 
Top Founders 4
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the MAD Podcast 14Top Founders 4
2022 1 mention in 1 episode
2019 2 mentions in 1 episode
2018 1 mention in 1 episode
2016 14 mentions in 1 episode
every mention on every show, scene by scene, with the transcript →
5 statements about Datorama, every show
Ribant: Marketing analysts rarely input the data they are forced to analyze
“The person who analyzes the data is rarely the person who's responsible for putting the data into the platform that will produce it.”
Ribant: Traditional BI specs become outdated before they are even finished
“In most of the projects that I have been involved in, if you do something like this, by the time that you have finished the specifications, everything or half of what's in the specifications has already changed.”
Datorama planned to apply crowdsourced machine learning to marketing insights
“We plan to take this approach further into insights over the course of next year, and kind of bring an ability to crowdsource the same type of machine learning to you know, to help marketers understand across the complexity of KPIs that they have in their plat…”
Ribant: Datorama avoids privacy pushback by training on user actions, not data
“No, never because we don't really, I mean, we don't at such use your data, right? We use your actions and you self benefit from your own actions as well. So you are, you know, integrating a first data source and maybe it's the first time we see it. So you're d…”
Ribant: Datorama mostly competes against fragmented, multi-tool traditional BI stacks
“Mostly what we see in terms of competition is, if you remember the slide where I had the whole process with the, all the different pieces, an ETL tool, a database, et cetera. That is mostly the competitive set that we, ah, that we see.”