What encompasses a "Data Strategy" in business data analytics?

A "Data Strategy" in business data analytics primarily focuses on the governance and management of data usage within an organization. This involves establishing policies, procedures, and frameworks that guide how data is collected, stored, processed, and analyzed. A robust data strategy ensures that the data is aligned with business goals, complies with legal and regulatory requirements, supports data quality, and helps in leveraging data for decision-making.

In practical terms, a well-defined data strategy helps organizations maximize the value of their data assets, enabling them to make informed business decisions, improve operational efficiency, and enhance customer experiences. It includes aspects such as data governance, data architecture, data quality management, and data integration, all aimed at optimizing the overall use of data across various business functions.

The other options focus on more tactical or operational aspects of a business rather than the overarching framework that dictates how data should be handled and utilized. For example, planning training schedules, managing promotional campaigns, and creating marketing strategies are critical functions, but they do not encompass the comprehensive guidelines and governance required to effectively manage and use data across an organization.