Data Governance projects typically focus on all of the following EXCEPT:

Data governance projects are primarily concerned with establishing policies and procedures to manage data quality, privacy, security, and compliance across an organization. In this context, the choice pertaining to Business Process Management is often viewed as outside the primary turf of data governance.

Master Data Management focuses on ensuring the consistency and integrity of key business data entities across the organization. This directly aligns with data governance as it seeks to maintain high-quality, trustworthy data.

Data Analytics and Business Intelligence involve leveraging governed data for decision-making and insights, which also aligns well with data governance objectives, promoting the effective use of data within the organization.

Customer Data Integration, which seeks to create a unified view of customer data from multiple sources, falls under the umbrella of data governance as well, as it often involves ensuring data accuracy and consistency across various systems.

Conversely, Business Process Management is concerned with optimizing the processes that involve data but does not directly deal with the management, quality, or compliance standards of the data itself. Therefore, it is less directly connected to the goals and activities that define data governance projects.