“I needed a tool to do that at scale. We were talking about hundreds of, and eventually thousands of defined terms, and we were just not able to do that in the Confluence tool that we were using earlier.”
"Traditional data warehousing can be quite expensive and time-consuming. It does extend the time to insight. So by the time you’re delivering the insight, it’s already potentially too late for the business. We need to adapt."
“I started off from a user’s perspective in a Business Intelligence role, then Data Warehousing, then Data Engineering before getting into Data Architecture. I’ve had visibility into the end-to-end of data, and I’m passionate about guiding people to get the most value out of data, processes, people, and frameworks."
"Something that we’re currently working on, hence where all this change is coming from, is that we’re trying to standardize and centralize the Data Analyst function. At the moment, they all form part of each one of the business units. But we want to standardize all the tools that they make use of, how they’re measured and monitored, and what best practices they should be following.”
“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.”
"If you are starting your data governance journey, Atlan is the tool and team to partner with to help you achieve your goals."
"When I mention Atlan to other competitors, people literally stop replying to us. Because Atlan is such a strong competitor, they know they’ve lost the deal."
“Well if you go with us we’ll be good in two years.”
“We want to surface everything in the enterprise to the users, but restrict some data in terms of access. I have to go through a request process, but we don’t want to stop them from seeing what exists.”
“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 at different dealerships.”
“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 another week or two to actually produce it. So a three-week waiting period is just not scalable. So this definitely cut that down to a half an hour, maybe less, to set up.”
"Atlan was very easy to set-up, we had all of our data sources flowing within the first day."
“Thank you for the educational workshop you facilitated for our team. The cultural value-add we get from Atlan in customer engagement complements the product perfectly!”
“The big difference now is that we are confident as a team when we’re talking about a data asset.”
“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 subjects and grades.”