Atlan | Humans of Data Atlan | Humans of Data
  • Articles
    Data Governance in the AI Era: 3 Big Problems and How to Solve Them
    March 4, 2025
    Breaking Down Data Silos: A Practical Framework from the Field
    February 26, 2025
    Convergence, Consumerization, and AI: Unpacking the Top Trends from Gartner’s Data Governance MQ
    February 25, 2025
    AI Governance with Atlan: AI Use Cases, Risk Assessments, Workflows & Shadow AI Governance
    February 21, 2025
    2024 at Atlan: A Love Letter to the Humans of Data đź’Ś
    February 20, 2025
    North Drives Millions in Business Value Through Governance, Self-service, and Atlan
    December 16, 2024
    Contentsquare: An Active Metadata Pioneer
    November 26, 2024
    Optimizely: An Active Metadata Pioneer
    October 17, 2024
    Global Excel Management: An Active Metadata Pioneer
    September 27, 2024
    ChargePoint: An Active Metadata Pioneer
    September 25, 2024
    Previous Next
  • Community
    AI Governance with Atlan: AI Use Cases, Risk Assessments, Workflows & Shadow AI Governance
    February 21, 2025
    North Drives Millions in Business Value Through Governance, Self-service, and Atlan
    December 16, 2024
    Contentsquare: An Active Metadata Pioneer
    November 26, 2024
    Optimizely: An Active Metadata Pioneer
    October 17, 2024
    Global Excel Management: An Active Metadata Pioneer
    September 27, 2024
    ChargePoint: An Active Metadata Pioneer
    September 25, 2024
    Kiwi.com’s Path to Data Democratization, Powered by Data Products
    September 24, 2024
    Tala: An Active Metadata Pioneer
    March 19, 2024
    TelefĂłnica Tech: An Active Metadata Pioneer
    March 19, 2024
    Signifyd: An Active Metadata Pioneer
    March 7, 2024
    Previous Next
  • Guides
    • The Future of the Modern Data Stack in 2023
    • The Third-Generation Data Catalog Primer
    • The Secrets of a Modern Data Leader
    • The Ultimate Guide to Evaluating Data Lineage
    • How Active Metadata Helps Modern Organizations Embrace the DataOps Way
  • Inside Atlan
    Embarking on a New Chapter as Chief Revenue Officer at Atlan
    May 2, 2024
    What makes our Chief Revenue Officer, Jim Smittkamp special?
    May 2, 2024
    Monte Carlo + Atlan Scaling Data Trust and Collaboration with Monte Carlo and Atlan’s New Integration
    May 25, 2023
    Atlan Debuts as a Leader in 3 Categories—Data Governance, Machine Learning Data Catalogs, and Data Quality—in the G2 Spring 2023 Grid® Reports
    April 7, 2023
    Product Roundup: Our 15 Favorite Features from 2022
    January 24, 2023
    December Product Roundup: 11 Reasons for Holiday Cheer
    January 5, 2023
    Introducing Supercharged Automation for your Data Estate
    December 19, 2022
    November Product Roundup: 13 Features to Feed Your Data Appetite
    December 7, 2022
    Atlan + dbt Labs partnership and integration Atlan Becomes dbt Semantic Layer Launch Partner and Announces Integration
    October 18, 2022
    Atlan + Fivetran Metadata API Column-Level Lineage Atlan Partners with Fivetran and Launches Integration with Metadata API
    September 22, 2022
    Previous Next
  • Facebook
  • Twitter
  • YouTube
  • LinkedIn

Optimizely: An Active Metadata Pioneer

By Mark Manning October 17, 2024
Curating a Comprehensive View of Customer Data in Atlan

The Active Metadata Pioneers series features Atlan customers who have completed a thorough evaluation of the Active Metadata Management market. Paying forward what you’ve learned to the next data leader is the true spirit of the Atlan community! So they’re here to share their hard-earned perspective on an evolving market, what makes up their modern data stack, innovative use cases for metadata, and more.

In this installment of the series, we meet Nevenka Perisic, Data Architect at Optimizely, a global leader in digital experience that helps more than 10,000 businesses improve customer lifetime value, increase revenue, and grow their brands through their flagship platform, Optimizely One. Nevenka shares how Optimizely’s Data Services team transitioned away from maintaining siloed data after multiple mergers, into using Atlan as a holistic solution for managing data. 

This interview has been edited for brevity and clarity.


Could you tell us a bit about yourself, your background, and what drew you to Data & Analytics?

I work as a Senior Data Architect at Optimizely, joining over a year ago. My objective is to bring data, and understanding of it, closer to customers, helping them see its value to the business.

While studying science at university, various projects exposed me to databases. This experience enabled me to develop essential skills, as one opportunity led to another. 

My training proved invaluable, as it helped me stay focused and structured in understanding data and appreciating the real information it provides, distinguishing between raw data and the value that can be derived from it.

Could you describe Optimizely, and how your data team supports the organization?

Optimizely is a digital experience platform provider that aims to be a one-stop shop for marketers. Our flagship product, Optimizely One, is the industry’s first operating system for marketers and allows teams to connect each step of the marketing lifecycle through a single, unified workflow, so they can better promote their products digitally. Many companies lack the skills, resources, or time to handle this, and that’s where Optimizely comes in. We take on that burden, offering customized solutions for each customer. Many major brands are already Optimizely customers, working closely with us to deliver value.

When I joined Optimizely, the company was undergoing significant changes, including multiple mergers, which created the challenge of bridging silos and identifying where data was stored. I became part of Data Services, a newly established central function responsible for managing analytics and supporting our common data platform in Snowflake. The team was small, but growing as we recruited more members. Now, we are focused on building a modern data stack to connect teams across Optimizely that had traditionally worked in isolation.

Could you describe Optimizely’s journey with Atlan, so far? 

I was responsible for implementing the platform, coordinating with Atlan and the data engineering team to bring the Optimizely instance online. I designed the initial implementation plan with Atlan’s help, outlining the stages, user stories, and short- and long-term targets. 

To engage the business, we needed something tangible, so we began integrating Atlan with key data sources. We quickly integrated all our major systems, earning recognition from Atlan as one of their fastest customers to complete this process. Native connectors, like Salesforce, allowed us to fully leverage Atlan’s features, and we’re working with Atlan to integrate systems without native connectors to extend access to features like data lineage, consumption, and other metrics.

What are the use cases you’ve built with Atlan? Who’s getting value from it?

We integrated data sources, glossaries, and dictionaries, and worked with power users who quickly saw value since they were already familiar with the software. Now, we’re promoting this value to business users who still rely heavily on spreadsheets, a process we’re actively rolling out. I handled the technical integration, making all data sources available, provided training so users could explore the data and identify useful features, and helped guide Atlan’s development to maximize value from the catalog.

I see Atlan not just as a data catalog, but as a collection of data artifacts. Our vision is to connect data flows, processes, and data quality on top of the lineage provided by Atlan. We aim to offer a holistic solution for users who come to Atlan and say something like, “I need this for a specific project. Can I pull all these data artifacts together with attributes linked to the right terms, glossaries, and data flows?” That’s our goal. 

We’re still building it, as it’s a huge task, but we’ve made progress, and users are starting to recognize its value and actively engage with us.

What are you looking forward to achieving with Atlan in the future?

We want to ensure that everything our team needs to understand our customers is made available in Atlan as our data estate matures.

We’re not there yet, so we’re limiting exposure for now because there’s still a lot of work to be done. We’ve made a lot of progress in Atlan, but we need to carefully consider how to expose meaningful data without creating an unusable swamp. Our intention is to provide reliable and credible information within Atlan.

Photo by Davide Baraldi on Unsplash

Communitycustomer storyData Catalogmetadata management
Author Mark Manning

Director of Product Marketing - Customer Advocacy

    Related Posts

    Breaking Down Data Silos: A Practical Framework from the Field

    February 26, 2025

    North Drives Millions in Business Value Through Governance, Self-service, and Atlan

    December 16, 2024

    Contentsquare: An Active Metadata Pioneer

    November 26, 2024

    Write A Comment Cancel Reply

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    © 2023 Atlan. All registered.

      Atlan | Humans of Data
      • Articles
      • Community
      • Guides
        • The Future of the Modern Data Stack in 2023
        • The Third-Generation Data Catalog Primer
        • The Secrets of a Modern Data Leader
        • The Ultimate Guide to Evaluating Data Lineage
        • How Active Metadata Helps Modern Organizations Embrace the DataOps Way
      • Inside Atlan

      Type above and press Enter to search. Press Esc to cancel.