Last month, we launched Organizations to help multi-subsidiary enterprises tackle one of their biggest challenges: federated event data governance—done fast and at scale. With new possibilities: → Independent schema registries: Perfect for subsidiaries managing their own events. → Centralized schemas: For unified tracking across subsidiaries when needed. This update is all about breaking silos and enabling enterprises to empower their subsidiary companies at no compromise to quality. ?? Swipe through the carousel to explore what this means for enterprises and follow the link in the comment to learn more. ??
Avo
软件开发
Walnut,California 1,636 位关注者
Find, fix, and prevent data quality issues. (Yes, it’s that simple)
关于我们
https://www.avo.app/ Avo is the leading data quality platform for product analytics. Avo helps teams like Adobe, Rappi, Fender, Delivery Hero and many more, to plan, implement and verify their analytics events 10x faster with better quality data. Avo’s tracking plan interface lets teams standardize event schemas, branched workflows and peer reviews keep stakeholders informed, and type safe analytics code and debuggers make implementation faster than ever. Avo works seamlessly with existing analytics tooling and CPDs so teams can ship faster without compromising data quality. Founded in 2018 by QuizUp product leaders, the company is backed by GGV Capital, Heavybit, and Y Combinator.
- 网站
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https://www.avo.app/
Avo的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Walnut,California
- 类型
- 私人持股
- 创立
- 2018
地点
Avo员工
动态
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People closest to the data can and should be the ones designing it. But what if you want to iterate on your tracking plan, without disrupting other stakeholders? ?? Our latest product update lets you do just that:? ?? Move quickly with schema updates while seeing the potential impact on other domains, AND? ?? Take steps to reduce disruption where possible, and/or loop in the right people for alignment as needed. Don’t fly blind without knowing the impact of your schema changes—you can now keep cross-domain Stakeholders in the loop whenever you’re delivering data design updates. And beside these exciting developments for schema management — we also have more exciting improvements to share with you. ?? Dive into our latest update to discover more. Link in the comments.??
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In case you missed it... During our recent Launch Week, we unveiled a host of exciting updates in Avo. This included: ?? Guardrails — A way to codify standards for data design. ?? Stakeholder Domains — Letting you divide and conquer your schema management. ?? Stakeholder specific schemas — Enabling stakeholders to own their data structures. ?? Federated event data governance — for large enterprises who need to manage multiple subsidiaries with independent schema registries. Curious to learn more? Dive into our Launch Week recap for the full scoop from the link in the comment section ??
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We’ve just taken a huge step toward data quality at scale. ?? Launch week is over. And everything we shipped last week was built with data mesh principles in mind—applying them to event data governance. These updates came from countless conversations with data teams, experts, and analysts from leading companies, who share the same vision with us: Federated governance with domain ownership. This is just the beginning. Dive into the latest releases and join us as we continue to build a better future for data teams ?? https://lnkd.in/gzXExdu4
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We made it! It’s Day 5?? of Launch Week and Solvi is here, wrapping up a huge week for Avo! ?? As Solvi Logason put it, we’ve made big strides but we’re just getting started. Now our focus is on keeping up the momentum and delivering on our vision for applying data mesh principles to event data governance. And we can’t wait to get to work with all of you to make that happen. ?? As ever, we couldn’t do it without the incredible help of our customers, community, and integral design partners. We can’t thank you enough for helping us get here and for all your support and feedback. Here’s to the next chapter, and to better data quality at scale! ??
This week was not just a series of launches (although it has been a blast seeing all of these shiny new updates to Avo finally come to fruition ??). It has been a massive step towards a bigger vision. Let me explain by putting my “How might we” cap on for a second… - How might we enable data mesh principles for event data quality at scale? - How might we empower data teams to work in lock step with other stakeholders, especially developers and domain owners? - And the biggest one: how might we make it easy, fast, and FUN to create great data fast? We’re just getting started, but what a start! And the best part is that the journey to get here has been the result of incredibly exciting collaboration with our design partners and friends in the data space. So if there’s only one thing you should take away as we look back on what we launched this week.. It’s this: The Avo team is not limited to our team members, but to a wonderful community of awesome, passionate people. It wouldn’t be possible for us to even make a dent in these juicy challenges without you. But our work isn’t done! Please continue to share your insights and feedback to help us solve every “How might we” on our list ?? I can’t wait to get started on the next chapter with you all. Let’s go ??
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Welcome back to Day 4?? of Avo’s Launch Week! Solvi’s latest update has us talking all things ?enterprise ?— making federated event data governance not just feasible, but fast for multi-subsidiary organizations. To get there, we’ve got two huge releases: ? Organizations: allowing you to have a collection of independent schema registries (typically associated with the org’s subsidiaries), with the possibility of centralized schemas for events that need to be synchronized across the subsidiaries. ? Centralized schemas: enabling central teams to sync event schemas across their subsidiaries when they need to track something in a uniform way. As Solvi says, we’re so excited for what this means for our enterprise customers and community. And more importantly how it unlocks federated governance in a way that unites siloed data teams. ?? Dive into Solvi’s post to learn more! ??
Over the years, we’ve had incredible enterprises like Delivery Hero, BILL .com, and Condé Nast adopt Avo—and they’ve continued to expand their use over time. It’s been incredibly rewarding for our team to see how Avo has become essential to their data governance efforts ?? But at some point, Avo started to feel like it wasn’t quite big enough for these enterprises. I like to think of Avo as an apartment in this context—they started by leasing a room, expanded over time, and eventually took over the whole apartment. But now they’ve brought in the entire extended family and desperately need more space. So, we built Avo Organizations—we turned that apartment into an apartment building! ?? An Avo Organization is a collection of independent schema registries (typically associated with the org’s subsidiaries), with the ability to define Centralized Schemas for events that need to be tracked uniformly across all subsidiaries. Huge shoutout to Klara Arnalds, Bragi Bergtórsson, and Bj?rn Jóhannsson for their hard work in building this out to meet the growing needs of our largest customers! ?? Learn more about how Organizations and Centralized Schemas can help with federated data governance at scale in the link below ?? What do you think? What do you like about this? Where do you want to see Avo Organizations go next?
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Launch Week waits for no one, we’re already at Day 3??! Solvi once again has a juicy release to share—this time it’s all about domain-specific schemas to empower data quality at scale. ?? There’s a lot to unpack here, but here’s the lowdown: ??Introducing Event Variants: so domains can own their own version of a company-wide event, with their spin on it.? ??Event-specific property constraints—letting you tweak property domain-specific properties without having to get buy-in from everyone who uses that property on other events. ??Domain teams get computational validation for their own special cases of widely used events. ?? Added granularity makes it crystal clear to developers what the tracking call is meant to capture. The aim? Developers are happy, the data team is happy, and everyone gets better data, faster.?That’s a cause for celebration, if you ask us! ?? But tell us what you think, and discover more on these launches via Solvi’s post below.
Developers hate implementing analytics. Here's why—and how we’re helping you fix it: Analytics implementation is one of those “chores” that usually gets done right before a feature launch. As a developer who's been in this position many times, all I want is to get the feature into users' hands and move onto the next exciting thing. So when I see an analytics ticket that says something like "add an event when people use the feature with some properties, and reuse that other event I can't remember the name of..." (a bit extreme example, but you get the idea ??), I have two options: 1/ Ship half-baked analytics that add little value, knowing I’ll be asked to fix the tracking later (interrupting my focus), or 2/ Chase down someone who can provide more granular requirements (blocking my release while I wait for answers from busy people) It doesn’t have to be this way. The more accurate the tracking requirements are, the faster developers can get it done. And as a bonus, you get better data in return. That’s why I’m so excited about today’s launch of Event Variants and Event-specific property constraints in Avo! We’re enabling domain experts to define precise, scenario-specific requirements for every event and property—turning analytics implementation into something developers can easily knock out in minutes and get that feature shipped ?? More empowered domain teams, happier developers, and more accurate data => Win-win-win! Big shoutout to Hugi Hlynsson, Svala Hj?rleifsdóttir and Aleks Verein for sweating over every detail to make these features seamless for our users! While they might seem simple on the surface, it took a lot of heavy lifting behind the scenes to get right ?? Learn more about how Event Variants and Event-specific property constraints unlock better data design and implementation in the link below ?? and then: Tell me what you think? What do you like about this? Where do you want to see this go next?
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It’s already Day 2?? of our Launch Week, and here’s Solvi with a major update. Introducing Domains to Avo: a way to divide and conquer your schema management. ?? It’s not just about delegating (as one customer puts it). It’s about empowering domain owners to run with their event data design at no compromise to data quality. Each domain will be able to enter a view of their tracking plan. For data consumers, it’s clear what data is available for analysis, what to build on and who to collaborate with when tracking is needed for a new feature release. There’s so much to share with this release, we can’t wait for you to get hands on with Domains and see for yourself! Dive into Solvi’s post, and let us know what you think. ??
When I was a developer at QuizUp, I used to ship features without even thinking about how they should be tracked. A few weeks later, someone from the data team would come asking, "Where’s the data from that feature you just launched?" My answer? "What data?" ??♂? But that all changed when I learned how powerful product analytics can be for a product builder. Seeing how my features performed, where users got stuck, and what worked well totally changed my approach. Suddenly, we were involving the data team before development even started, defining goals and setting up tracking for new metrics to measure success. As soon as the feature went live, we’d dive into the dashboards in Mixpanel or Amplitude to watch, in real time, how the feature was impacting actual people. My dopamine loop as a developer shifted from merging pull requests to seeing the real-world impact of my work. From then on, we never shipped without ensuring the data was airtight. And who better to define that data than the feature team? We had the full context of the problem we were solving, and that meant better, more relevant data. That’s why we’re so excited to introduce Domains in Avo! With Domains, data teams can empower domain experts to take ownership of their data design, without sacrificing quality. No more bottlenecks, no more data team overload—just better data, faster. Major shoutout to the product team bringing this vision to live Klara Arnalds, Svala Hj?rleifsdóttir, Bragi Bergtórsson, Hugi Hlynsson, and the incredible design partners that have worked closely with us to get this right—including Cathy Wong, Coty Pastene, MBA CDMP, Ursula L., Elmira G. and Giorgio Terreni who went the extra mile to give us feedback on the post we’re sharing today ?? Learn more about Domains in Avo in the link below ??