"Data is an important part of measuring where we are now, and what we need to do to grow further. We have initiatives like optimizing the parts we use and being more sustainable, and that’s where my team, directly and indirectly, contributes to the whole company.”
“Two key parts of this were, one, improving visibility and understanding of data, including business and technical ownership. And two, enabling self-service by data users, which would then allow Data & Analytics teams to focus on value-adding activities, like providing insights."
"It feels like I transferred the weight of my knowledge to Atlan."
“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.”
“Nasdaq operates over 30 exchanges across a variety of asset classes across the globe. We’re also home to over 4,100 publicly listed companies globally. In the U.S., we’re home to 73% of all publicly listed tech companies, and the four largest by market cap. Nasdaq is truly the home of technology.”
“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."
"In a proof of concept, unless you look at it, feel it, and use it with your own organization’s data ecosystem, which can be messy and brings its own challenges, you can’t see how the tool adapts to that. You need to ultimately give your sponsors and users, who will be using this tool, the ability to get hands-on and say what they do and don’t like. It gets them more engaged in the process.”
“Our role is to manage our global data platform, which is deployed centrally, and used by Aliaxis’ regions to build Data & Analytics projects, We’re here to make sure all of the components of the platform work as they should, but also to define the strategy and roadmap of the platform, like replacing existing components, or introducing new capabilities.”
“Well if you go with us we’ll be good in two years.”
"It was an obvious choice when I saw Atlan, if only because of how well it integrated with the tools we have. It was Fivetran, it was dbt, you connected to MySQL databases and to Salesforce, and there were exciting things coming with the Monte Carlo partnership. It gave that end-to-end experience to the user. We didn’t have to manage any clusters or compute resources. It was easy to sign up users, and really easy to onboard them.”
“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."
"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."
“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.”
"Atlan is a great product and one that we would definitely recommend! Compared to other products in the marketplace, the combination of features, a pay as you go pricing model, and access to the product team is unmatched."
"Atlan is our way of solving problems without having to ask three of your teammates a navigation question, a data lineage question, or an ownership question."