Data sourcing and acquisition refer to the processes of identifying, collecting, and obtaining data from various sources to support decision-making, analysis, and model development. This involves understanding the specific data needs of an organization, determining the best sources—whether internal or external—and ensuring the quality and relevance of the data collected. Effective data sourcing is crucial for building robust analytical models and driving insights, as it lays the foundation for data-driven strategies. Organizations often employ frameworks like Kaizen and 5S to enhance their data acquisition processes, ensuring continuous improvement and alignment with business objectives.