This is because enterprise architecture (EA) is a practice that helps organizations align their IT systems and processes with their business objectives. EA provides a holistic and integrated view of the current and future state of the organization's IT infrastructure, as well as the gaps, issues, and opportunities for improvement1. By using EA, the organization can:
Identify and prioritize the IT investments that support the business strategy, goals, and needs1 Optimize the IT spending and maximize the IT value1 Ensure the IT quality, security, and compliance1 Avoid IT duplication, waste, and inefficiency1 Define IT roles and responsibilities and assign accountability1 EA can help the organization plan for the necessary IT investments in a systematic and structured way, and ensure that they are aligned with the business vision and value.
The other options, risk assessment report, business user satisfaction metrics, and audit findings are not as useful as enterprise architecture (EA) for planning for the necessary IT investments. They are more related to the evaluation and monitoring of the IT performance, rather than the planning and alignment of the IT strategy. They may also provide limited or partial information about the IT infrastructure, rather than a comprehensive and integrated view. They may also depend on external factors or standards that may not be relevant or applicable to the organization's specific context and needs.

The data owner is the role that is accountable for the confidentiality, integrity, and availability of information within an enterprise, because the data owner is the person who has the authority and responsibility to classify, label, and protect the information assets according to their value and sensitivity1. The data owner also defines the business requirements for the information security and ensures that the data custodian implements the appropriate controls to safeguard the information2. The data owner is also part of the IT governance domain 4: Value Delivery3. Reference := 1: Data Classification Standard3, page 42: 3 Pillars of Data Security: Confidentiality, Integrity & Availability43: CGEIT Review Manual 2023, ISACA, page 155.