"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.”
"Since Atlan is virtualized on Snowflake, we don’t have to worry about security and HIPAA sensitivity."
“As it grew, almost all of our data was inserted into it, and it really changed how we work. The one sense that is prevailing in every interaction I have with the tool is ‘Wow, I can do this by myself.’ That’s a freeing sensation."
“I express my gratitude by saying, Atlan has not only been a vendor. It's like a partnership, but it's almost like a family. They create this family environment, like they truly care about your success and they want you to succeed as much as we want to succeed.”
"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 the platform, securely and in isolation, only sharing when they choose to, which leads to security. The platform has to protect data, especially our most sensitive customer data. It is compliant, meets privacy requirements, supports discovery, and has high velocity and high quality tooling for common extract, load, and transform operations.”
“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.”
“Contentful is a scaling company, and we are taking market share and want to continue to do that. The next part is around how we transform from what we are today, which is a single product, into a multiple-product platform that is supported by a marketplace, Then, what we’re doing now is making sure that we’re maturing our processes and can scale even faster.”
"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.”
“Our data maturity has really grown over the years, and that led to the idea that we need to be looking at our own data platform and capabilities, and using that as a launchpad for backing up the services we provide to clients, and enabling us to build and power a load of products we can offer to clients and run ourselves.”
"All other products in this space have been developed keeping the technical user in mind. Our vision of data democratization went beyond the technical user to touch every business user. With Atlan’s design-first approach and intuitive product, we were able to drive more adoption in a few months than we had in years with other tools."
"We used to have a data catalog. We had Informatica EDC. The motivation to look for a different solution came from some difficulties in implementing certain features like lineage, a business glossary. It was kind of frustrating, and it came to a point where we felt like the technology was kind of blocking us from reaching where we wanted to go. And that was the spark to look into the market for new technologies and platforms.”
"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.”
"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.”
"We evaluated all the open source solutions out there. Each one of them has a niche, but none of them gave me the comprehensive data portal — data discovery, quality, lineage and governance — that I was looking for."
“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.”