SXSW 2020
How Monetizing Data Got Us Fired by Gartner
Description:
There’s an Innovator’s Dilemma for market researchers. Gartner, a leader in tech industry analysis, is superb at studying established markets through vested data analysis. Liftr Cloud Insights realized we were generating insightful data to measure new markets, like sizing public cloud infrastructure and its supply chain, but failed to monetize it. So, we invested in gathering, aggregating, and analyzing public data automatically with the goal of creating and monetizing data. Gartner realized they didn’t have anything similar and “upgraded” us from customer to competitor. Hear why we began collecting public cloud data, how it expanded into a business, and how getting fired by Gartner became ideal for us.
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Takeaways
- How do you decide what data to gather, aggregate, and analyze?
- Yes, you really do need data science, even if you don’t monetize your data, here’s why...
- Congratulations, you’ve automated gathering and aggregating data for your small piece of your industry! What’s your business model to monetize that?
Speakers
- Paul Teich, Principal Analyst, Liftr Insights
- Drew Bixby, Director of Product, Liftr Insights
Organizer
Kylie Perry, Content and Marketing Specialist, DoubleHorn
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