Last week at TechBBQ in Copenhagen was incredible! 🚀 Our CEO Stefania Olafsdottir rocked two panels, discussing product market fit, networking, funding, promoting diversity & inclusion, and a lot more. Thank you for inviting us, and a huge thanks to everyone who participated! Stay tuned for more exciting updates from Avo as we continue to be a part of such amazing events! 👏 P.S. We are organizing a webinar with Mixpanel and Human37 on Data Quality: Avoiding pitfalls before they’re a problem. If you've not registered already, you can book your slot here: https://lnkd.in/dMyyZYrJ #TechBBQ #ProductAnalytics #AvoAdventures #DataGovernance #DataQuality"
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Strike a match in your tracking plan, without causing a forest fire. 🔥 Our latest releases empower you to make small, event-specific changes that increase accuracy while limiting scope: ➡️ Event-specific property constraints: Tailor your property values to a certain event to limit schema changes to your specific scenario. ➡️ Regex (regular expression) for property values: Enforce specific rules to your string properties to ensure consistency (great for validating values such as phone numbers, email addresses, and dates). Dive into our latest update to discover more: https://lnkd.in/gU7jkdM9
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As our CEO Stefania Olafsdottir writes—data governance at scale is broken. It’s high time we fixed it. 🔥 Finally, data mesh principles can be applied to event data governance in a way that makes reliable, fast data a reality for those who need it. Dive into Stef’s post on the case for central governance with domain-driven ownership, the first in a three-part series. And let us know what you think? Are we on the right lines here?
All I want for Christmas is the data mesh principles applied to event-based data governance. The “data mesh principles” and “data contracts” are two frameworks that many of us already follow without calling them that. I’m sorry to potentially trigger your allergy to marketing speak, as both of those concepts did for me. What I hated about the data mesh principles framework when it went viral is exactly the same as what I’ve grown to love about it; it’s a new way to frame what we’ve all already been trying to work towards for ages. At first I thought: “Oh great, yet another consultant-y framework that’s easy to throw around without getting the nitty gritty of the actual work”—and we all know the devil is in the details. When I finally got over myself I realized it’s frankly a great framing of exactly what I’ve personally been preaching since the early days of product analytics. The data mesh principles (data as a product, self-serve data, central governance, domain ownership) may seem lofty and even insurmountable. But applying them to event-based data governance is absolutely key to leveraging great data, building products on top of it and making decisions from it. I’ve already talked and written a ton about two of the data mesh principles, data as a product and self-serve analytics. It’s time to let the other two shine. Let me state the case for 💥central governance with domain-driven ownership 💥for event based data. I’m writing a three piece series on this and the first post part’s out (check out link in comments 👇), about how data governance at scale is absolutely bonkers levels of broken but can be addressed with data mesh and data contracts. Hear me out and tell me how I’m wrong 🙏 Other than that, let’s go go go. Good luck, have fun.
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Last week, we had an incredible time together with the entire Avo team in Reykjavik. We hiked, hit the sauna, and dove into a lot of serious collaboration sessions. We are excited to launch some of the amazing work we've been up to together. So, stay tuned. 💜 #Reykjaweek #TeamAvo #DataQuality #DataGovernance
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Wolt revolutionized their data culture through streamlined workflows with Avo. "Avo's tracking plan made defining, grouping and interpreting events 'super, super convenient.'" — Elmira Gatina, Analytics Engineer at Wolt Discover how Wolt ensures high-quality data, achieves significant time savings, and delivers reliable insights with Avo. 👉 https://lnkd.in/gd9ykXN6
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Event Triggers make it crystal clear when and where an event should be triggered. Now, we’re bringing triggers to Event Variants. This reduces ambiguity and errors, ensuring everyone knows how to implement each variant. And it’s as simple as uploading a screenshot. Learn more in our latest update 👉 https://lnkd.in/gcbj6T6F #EventTriggers #EventVariants #DataDesign
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Build precision into your tracking plan with Event Variants. 📌 Now with pinned properties, you can build in greater accuracy and a more streamlined experience for developers. With Codegen, developers don’t even have to think about the pinned property value—it’s automatically sent to all destinations when the Event Variant is triggered. Discover more in our latest update 👉 https://lnkd.in/gcbj6T6F #EventVariants #DataQuality #PinnedProperties
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Dive deep into one of our most powerful new features: Event Variants 🤿 Event Variants make it possible for you to make a variation of an existing event to suit a specific scenario. This means you can build precision into your events, without impacting the scope of your tracking plan. Dive into our recent update for more 👉 https://lnkd.in/gcbj6T6F
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Your passion for better data is what drives us. 💪 And based on your valuable feedback, we’re announcing better ways to govern your data and bring even more precision to your data design. So without further ado, join us for a deep dive on Event Variants, a powerful way to create variations of existing events to suit specific scenarios. Our latest newsletter reveals: ➡️ What Event Variants are, and why they’re useful ➡️ How to pin properties to variants ➡️ Adding images to show when a variant should be triggered ➡️ Making variants source specific 🧪 Beta previews: Set advanced event naming rules and define allowed property values at the event level. Get the full story in our latest update, here 👉 https://lnkd.in/dwz3QUF7
Dive deep into Event Variants 🤿
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Thank you for being a part of TechBBQ 2023, Avo and Stefania. We hope that you are feeling inspired, and that we will see you again next year. 🔥