"Our vision is to become the operating system for commerce in India, through a combination of world-class infrastructure and cutting-edge engineering and technology."

“The big difference now is that we are confident as a team when we’re talking about a data asset.”

“If we didn’t have AI in our arsenal, we could find ourselves at a competitive disadvantage. Unity Catalog worked out of the box for us and Atlan gave us visibility from the cloud all the way back to our on-prem.”

"If you are starting your data governance journey, Atlan is the tool and team to partner with to help you achieve your goals."

“The first major change we did in tooling was an enterprise data science environment. We ended up buying Dataiku, and that made a huge difference. We stopped throwing spreadsheets around and were storing tables for intermediate transformations."

"We evaluated traditional enterprise-focused data catalogs. built our own catalog with Atlas and Amundsen, and later adopted the modern SaaS unified data workspace, Atlan."

"Atlan made the most complex data concept, which is data governance, look simple and easy to use. Because of its intuitive UI, Delhivery users love to return to Atlan for any issues they face with metadata."

"We need to identify who we define as owners and make documentation fun for them. Success will depend on motivation."

“There are different levels of scrutiny depending on the use case. Someone on our Finance team who’s producing reporting that will go to ratings agencies, or those purchasing in debt markets, are going to have very different needs from someone on our Sales team who’s looking to understand conversion metrics …

“We played around with custom metadata yesterday, I think this is some of the coolest stuff we’ve ever seen in a data catalog especially since it’s backed by APIs to ingest data from our DQ tool.”

"Atlan has become a valuable resource for the data team to get context about data. At a data-driven company like Postman, it had become hard to discover and curate increasing amounts of data until we discovered Atlan."

“We've seen time and again how much you really care about this problem statement of metadata."

“It’s allowed us to fully automate reporting without any engineering resources and become self-sufficient. So it’s definitely removed a big bottleneck in our process. When I put in a request to the data engineers, it would take a week to get it into their sprint, and then it would take …

"As data teams, we’ve painted ourselves into a corner. On one hand, no data team wants to be a help desk or dashboard factory, resolving Jira requests for data pulls or cranking out ghosted dashboards. On the other hand, as much as we might resent it, this is some of …

“We said, yes, we want to be building reusable, scalable products. We want to iterate and improve, we want to be trusted by our customers, we want to add value to them, we want to be able to have our customers self-service, we want to enable better data discovery.”