Iteratively is a smart tracking plan for smart companies. The best teams use data to inform their decisions. The problem is that most organizations don't trust the data that they're capturing. Data integrity issues lead to teams losing confidence and ultimately, poor decision making.
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Congrats @patrickt010@ondrej421 about being on the hunt and big raise!
Iteratively is a foundational tool that advances trust in the product usage data.
It doesn't make sense to build an elaborate product analytics solution, only to find out that the foundation is weak. Regrettably, that happens all too often.
Iteratively will help any company to build their product analytics solution on a firm footing so that makers can spend their time on figuring out how to bring value to the customers.
we appreciate your support, thanks so much @josh_yim. You're spot on - let's have teams spend more time on creating value instead of munging data or fixing bugs 🚀
Great product. well done team Iteratively!
Designing consistent events has been an enourmous pain. Let alone identifying which ones actually have been implemented. Iteratively made this a breeze. 👏
This is awesome Patrick, huge congrats to you and the team.
Speaking from first hand experience building out the data and analytics stack at Hotjar from scratch, Iteratively hits on one of the biggest points of failure in any data and analytics setup.
You can have the best technical stack but without a solid data governance process your destined to “lose trust” in the data.
Looking forward to seeing what you and the team cook up next!
@mmt That's an interesting way to put it, I can totally see where you're coming from. My view is that it's always been a bit of a mess but today, you can't rely on data that's 80% accurate (in the past we did). If you're using data to power marketing automation or real-time personalization, you have to trust your data 100%. And that starts with capturing it accurately!
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@patrickt010 and @ondrej421 have really nailed a hard problem here. Patrick and I worked together on the enormous analytics stack at Atlassian, and learned first hand how hard it is to be data driven when you can't get on top of your data quality.
It really is garbage in, garbage out.
With this solution they've got something that delivers great data but doesn't annoy developers or hamper the process of shipping awesome software, fast.
Excited to see them share this with the world.
@ondrej421@shaunmclowes Shaun, I learned heaps from working with you at Atlassian and appreciate your continued support! 🙏🙌
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Congrats!!! Enforcing a schema really make the data clean and clear. Thanks the Iteratively team for building such a great product. It's bringing analytics tool to the next level. You rock!
I can't speak highly enough about what Iteratively is doing -- making data cleaner by being proactive and ensuring that product teams are designing data collection along side feature design -- it's incredible! @patrickt010 Great stuff!
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