In recent years, Capital One’s data environment scaled exponentially in size and complexity with increasingly distributed, unstructured, and real-time data needs. This presented challenges in maximizing the value of data due to inconsistent naming, formatting, quality, and understanding. Capital One implemented an Enterprise Data Standardization program in order to tackle discoverability and usability challenges. One aspect of the program includes the development and operationalization of an enterprise ontology organized by high-level subject areas (ex. Account, Customer) that is agnostic from systems and organizational divisions.||||Capital One recognized that the enterprise ontology must be managed in a scalable, and federated manner, acknowledging that centralized governance oftentimes becomes a bottleneck and could cause delays in data production and consumption. This session will cover how Capital One brought together a collaborative group of stakeholders from across the organization, meeting regularly as a working group to define a federated contribution and governance framework for developing and supporting the enterprise ontology. We will share the challenges and solutions for reaching consensus and defining a clear, actionable federated governance framework.||||Following the culmination of the working group, Capital One put the federated framework into play as part of an end-to-end 2022 MVP that focuses on implementing Data Standardization in their ecosystem. By focusing on the Account, Customer, and Transaction subject areas, Capital One’s framework will build on a foundation of existing modeling and socialization forums, enabling federation of submodels within the subject areas, and engaging a strong set of cross-divisional subject matter experts to review and refine processes and templates surrounding communications, approval documentation, and impact assessments as they embed Data Standardization in their data ecosystem.||||After this session, attendees will be able to:||1) Identify and address common gotcha’s that may impede successful governance efforts||2) Engage and align key stakeholders and subject matter experts on the need for governance and get them excited about contributing to your ontology||3) Articulate the benefits of a federated framework for enabling rapid contribution to an enterprise ontology while ensuring robust and non-duplicative models||
