“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."

"A data platform today needs to have a number of core features. It needs to be multi-domain, and it needs to support data from many different parts of the business across many different subject areas. It needs to be multi-tenant, and we have to enable multiple teams to work on …

"We’re trying to switch that and create a culture shift, especially going into 2024, where we can hopefully establish a CEO-CFO relationship between an analyst and their stakeholder, and have that back-and-forth that can drive the business a bit more.”

“If we can better track where data is going and flowing in our system, it might be easier to automate it, or at least more easily find out where the data is and in what location.”

"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."

"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."

"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."

“We are big believers in automating wherever possible and the quality and depth of your APIs, the fact that everything can be API-driven, was a huge deal for us.”

"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.”

“We have hundreds of millions of students, educators, and general users in our application. As you can imagine, it also results in a lot of data, And because Brainly is a global platform, we operate in 35 different countries, and we have a really extensive knowledge base for all school …

“We are truly impressed with the ample collaborative features Atlan brings to help the analysts across our organization feed and maintain information.”

“Being able to refer to written definitions of our data elements has made it so much easier to create accurate, up-to-date reports that our users actually trust.”

“Before Atlan, we lacked a single source of truth for our ‘ubiquitous language’ for a given data domain. Our knowledge was lost in emails, chats, and meetings.”