Data source and acquisition refer to the processes involved in identifying, obtaining, and managing data from various origins for analysis and decision-making. In today’s data-driven landscape, organizations rely on diverse data sources, including internal databases, external APIs, and public datasets, to gain insights and enhance their operations. Effective data acquisition involves understanding the quality, relevance, and risks associated with the data, ensuring it aligns with business objectives. By employing structured methodologies, such as the Kaizen quality framework, organizations can continuously improve their data acquisition strategies, ultimately leading to better data management and informed decision-making.