Business Analysis Certification Practice Test 2025 – All-in-One Resource to Master Your Exam Success!

In a lightweight and agile governance framework, one of the key processes is data strategy, architecture, and management. This aspect is crucial because effective data governance ensures that data is accurate, consistent, and accessible, enabling organizations to make informed decisions quickly and efficiently. It supports agile methodologies by fostering collaboration and adaptability, allowing teams to adjust their data handling practices in alignment with changing business needs and project requirements.

By prioritizing data strategy and management, organizations can enhance their responsiveness to market dynamics, improve transparency in data usage, and ultimately drive better business outcomes. Moreover, a well-defined data architecture provides the necessary structure for integrating and managing data across various teams, which is essential in an agile environment where projects evolve rapidly.

The other options, while relevant to overall organizational health, do not specifically address the fundamental components of an agile governance framework, which emphasizes the ability to pivot based on data insights and maintain robust data control mechanisms.