Aaron Fuller: Just-In-Time Design

Secrets of Data Analytics Leaders

Just-in-time design is the practice of designing working software in small increments that support a business-defined need or story. Just-in-time design, as well as just-in-time testing, is an integral part of the agile software methodology. In fact, you can’t really do agile without just-in-time design. To help us understand the nuances of just-in-time design, we invited Aaron Fuller, a long-time data architect and member of Eckerson Group’s consulting network. Across an 11-year career as the enterprise data architect for an insurance company, he modeled data, created technical designs for a broad range of systems, established governance and stewardship, and led the establishment of their enterprise data warehousing, business intelligence, and enterprise architecture programs. As principal consultant and owner of Superior Data Strategies since 2010, he leads a team of highly skilled data professionals who are uniquely capable of planning and executing agile data projects.