In 2020, Martin Fowler introduced domain-driven design (DDD), advocating for deep domain understanding to enhance software development. Today, as organizations adopt DDD principles, they face new hurdles, particularly in data governance, stewardship, and contractual frameworks. Building practical data domains is a complex undertaking and comes with some challenges, but the rewards in terms of data consistency, usability, and business value are significant.
A major drawback to achieving DDD success often occurs when organizations treat data governance as a broad, enterprise-wide initiative rather than an iterative, use-case-focused process. In this way, the approach often leads to governance shortcomings such as a lack of context, where generic policies overlook the specific requirements of individual domains and fail to address unique use cases effectively. Adopting governance across an entire organization is usually time-consuming and complex, which leads to delays in realizing the benefits of DDD. Additionally, employees tend to resist large-scale governance changes that seem irrelevant to their daily tasks, impeding adoption and effectiveness. Inflexibility is another concern, as enterprise-wide governance programs are difficult to adapt to evolving business needs, which can stifle innovation and agility.
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