Atlan

Next stop: Lausanne ???? “I don’t think people realize how much governance work happens outside of the tool.” This insight from a Lausanne data leader struck at the heart of a complex reality. As business units evolve through their data maturity cycles - sometimes taking 12 to 18 months - the groundwork for governance runs deep. "Aligning business heads on the value of a single source of truth, knowing what and how to document, getting validation from consumers - there’s so much thinking needed before a tool even enters the picture,” they shared. The challenge? “There is no right way of doing this. Business units don’t even realize they need direction and principles to make meaningful progress.” Meanwhile, AI is reshaping user expectations. “ChatGPT has changed the game,” another leader noted. “It’s not enough to know what dashboard exists. Users now expect dashboards to talk back, explaining why they exist and how they could be useful for specific use cases.” As teams race to meet these evolving demands, a new concern emerges: ensuring AI hallucinations don’t misdirect their teams. Three cities to go. But Lausanne reminds us that in the age of AI, the fundamentals of good governance matter more than ever.

Scaling data at Atlan was no small feat. With ETL pipeline bottlenecks and workflow failures, we needed a solution. With Argo Project, we found a way to parallelize, retry, and scale efficiently. The outcome: ??3M SQL queries processed in 2hrs ? 50% reduction in pipeline runtime ??450% faster processing Now we're paying it forward - join?Satabrata Paul?and?Nishchith Shetty?at #ArgoCon to see how we did it and learn how you can solve your own ETL scalability challenges! We're excited to connect with the broader #CloudNative and #DataEngineering communities. Can't wait to share and learn! Attend the talk: https://lnkd.in/gCdQJbP9 #AtlanForEngineers

?? Preparing your data governance strategy for 2025? Join us for a live AMA with Dropbox's Data Governance Lead, Cortney Worthy, and Atlan's Director of Data Strategy, Austin Kronz! Even with the scale of Dropbox’s operations - 700M users and 500 billion pieces of content - Cortney has been able to lead an incredible governance transformation by embracing federated ownership and scalable data products. ?? Save your spot to learn: ?? How Dropbox structures teams for ownership and decision-making ?? Best practices for designing scalable data products ? Real-life Dropbox use cases of data products driving value ??? Register here ?? https://lnkd.in/dVbDNRam

Next stop: Brno ???? "We have tons of tools and people using them, but keeping track of the right, up-to-date resources is a challenge." This was the central struggle the Brno data team faced. With documentation scattered across systems, onboarding new team members lacked a trusted, navigable resource. "Now, everyone from our product managers to analysts are onboarding themselves using Atlan," one leader shared. But the issues ran deeper. Different business units had different understandings of common terms like "market." As a result, their decisions lacked alignment, and they couldn't measure true impact. "Yes, we need a glossary, but we also need processes to ensure tight cross-functional alignment," explained another leader. Our conversations in Brno highlighted a fundamental truth: great data capabilities are only as powerful as the people supporting them. Streamlining documentation, driving alignment, and building shared understanding are key. Four cities to go, but Brno has shown us that the most important work happens behind the scenes.

Get ready, Los Angeles! ?? Join Atlan, Fivetran, and Soda after the Data & AI World Tour for a night of networking and TopGolf on November 7! Whether you’re a seasoned golfer or a complete beginner, our pro instructors will be there to guide you. Expect great conversations, drinks, appetizers, and a fantastic crowd of data enthusiasts. ?? TopGolf El Segundo ?? 6:30 - 8:30 PM ?? Free parking + Uber vouchers available Limited spots available, so save yours here: https://lnkd.in/d-V8MQbR

Delivering data governance value takes time — but fast wins are key to keeping stakeholders invested. ?? In Part 2 of this series on Metadata Weekly, Prukalpa ? and Austin Kronz tackle the ultimate challenge for data leaders: proving governance impact when immediate results are slow to come by. Read the article to learn about: ?? Progress metrics — Focus on showing user satisfaction and streamlining operations early, from quick pulse surveys on ease of data access to the time saved on compliance checks. ?? Value metrics — From time savings to business impact, learn how to translate metrics into measurable cost, revenue, and risk reduction to demonstrate ROI. ?? The “3 Whys” framework — Uncover the core principles behind every stakeholder request to link governance back to strategic goals. Full article: https://lnkd.in/die3W4uV

Next stop: Geneva ???? Our team met with data leaders who had a common refrain: "The CxOs just can't see what we do." The data team had invested heavily in data engineering and infrastructure a few years ago, but none of that hard work - the "blood, sweat, and tears" - was tangible for the CxO. "For them, it's just a line item that looks expensive," shared one data leader. "No matter how many decks we create, they can't understand what they can't see." Whether it was struggles to get buy-in for data engineering, making business teams excited about new data initiatives, or proving ROI, the root cause was the same — a disconnect between the technical world of data and the business-first mindset of leadership. That changed when our team conducted a value discovery exercise. The data team saw the value of their work come to life as end users discussed how challenges around collaboration and decision-making were being solved. “I'm so glad to hear that we are saving 2 working days for our product managers each sprint cycle,” shared a data leader. “I now know how to report back early signs of impact and take them to other business-first users. We can't thank you enough for the clarity we are walking away within our own organization.” These conversations in Geneva reinforced why we believe great data partnerships must start with understanding the humans, not just the technology. Five cities to go. Countless more stories to uncover.

?? We’re thrilled to announce that our co-founder, Prukalpa ?, will be speaking at TechCrunch Disrupt 2024 alongside a founder-first panel featuring Christine Yen from honeycomb.io, Anand Babu Periasamy from MinIO, and Karthik Ranganathan from Yugabyte. Join us for a discussion on “The Age of Technical Engineering Founders: How They Are Driving AI Innovation.” It’s going to be real, raw, and focused on what startups and enterprises alike need to know as they navigate the AI-driven world. ??? Date: October 29, 2024 ? Time: 2:30 PM - 3:20 PM

?????? Announcing our first real-time data quality integration with Anomalo! This integration brings Anomalo's AI-powered data quality checks into Atlan’s active metadata platform to give data teams one home for trust. Here’s how: ?? Detect and act on data quality issues immediately Data engineers can dive deeper into data quality issues raised by Anomalo, with column-level lineage from Atlan giving engineers oversight into downstream impact of data quality issues. ?? Stay up-to-date on data quality coverage Data stewards can get an immediate, up-to-date view of the data and AI landscape. With popularity metrics from Atlan and quality signals from Anomalo, it’s easy to prioritize data products for custom quality checks. ?? Real-time trust for business users Rich previews into data quality signals make it easy for any business user, from product manager to CEO, to answer the question “Can I trust this data?”. They say trust is a team sport, and we’re excited to partner with Anomalo to build data trust, in real-time! Learn all about the integration here: https://lnkd.in/dmmqdeEt

First stop: Hamburg ???? ‘It’s often a thankless and lonely job.’ These words from a data governance leader stopped us in our tracks. In the heart of Hamburg, we uncovered a powerful truth about data governance: behind every initiative are humans grappling with questions that don’t have easy answers. How do you break down silos that have existed for years? How do you know if your governance approach is right when every team has different needs? Where do you find community when you’re charting new territory? The most powerful moment? Watching walls come down during a workshop where teams who rarely spoke to each other started sharing challenges, aligning visions, and even formed a Governance Council on the spot. This is why we’re on this journey - to uncover these raw, human moments that shape how organizations really transform through data governance. Six cities to go. Countless more stories to uncover. But Hamburg reminded us: sometimes the biggest breakthroughs happen when we simply create space for the humans of data to connect.