"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."
"Atlan was very easy to set-up, we had all of our data sources flowing within the first day."
"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."
“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.”
“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.”
"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."
“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.”
“Even before COVID, Elastic was distributed and remote. It’s important to realize that when we think about how we operate as a company. You’ll see that in our source code, and you kind of think of that as a kind of culture statement."
“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.”
“My initial impression was the user interface and the thought put into every element — making it searchable, easy to navigate. When you have thought through small things like icons, it paints a good picture.”
“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 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.”