The data analysis plan may be formal or informal. The objective is to ensure sufficient time to plan the data analysis activities required for the initiative.

Organizations aiming to integrate analytics to drive business decisions consider unique organizational models for the analytics team and how these organizational models can be situated within the

Organization-level strategy guides comprehensive analytics engagements managing data residing within and outside the organization. Simply consolidating organizational data for a single analytics

An implementation plan outlines the implementation strategy and includes a road map of the changes and tasks that must be completed to ensure the successful implementation of a change.

Planning stakeholder communication includes identifying what needs to be communicated, to whom it needs to be communicated, how it needs to be communicated, and when it needs to be communicated.

After choosing the right set of metrics for the product, Product Owners must utilize the information obtained from these metrics. Any metrics used as KPIs must lead to the discovery of new

Business stakeholders may not know what to expect from product delivery. Unexpected changes can occur frequently due to the nature of validated learning. Continuous communication by the Product

Providing the product team with the confidence that their work contributes to something meaningful and valuable is important. It assures them they can do their job well.

POA is a discipline that realizes the core principle of agile business analysis in product development, while applying agility at all levels, from product vision to daily work plans.

Integrating business analysis and Product Ownership provides a strong foundation for Product Ownership Analysis.