2. How might you improve the "everyday use of organizational data" process? Do you currently see it as a source of waste hampering your improvement efforts? There are ways improve the everyday use of organizational data process. It can be done by: Data proling: is the process of examining, analyzing, and creating useful summaries of data. The process yields a high-level overview which aids in the discovery of data quality issues, risks, and overail trends. Focusing on relevant data: Find and focus on relevant data. Data that's not needed should be removed. It is necessary for optimization and creates strong strategies, as weli as minimizing time. Standardization of the process: A standardized process is a clearly defined and documented process that remains the same throughout the entire company, regardless of department or team. A checklist is created that outlines responsibiiities and the desired outcome. Introduction ofautomated process: is designed to remove bottlenecks, reduce errors and loss of data, all while increasing transparency, communication across departments, and speed of processing. I don't currently see these efforts as a source of waste hampering because these ensure accurate and timely information that can diminish error within organization. It helps to maintain data in accordance to organizational rules and policies, allowing companies to reach their goals. It can also save time and money if utilized efciently through things like data profiling and focus of relevant data. Nash D. B. Joshi M. Ransom E. R. & Ransom S. B. (2019). The healthcare quality book: vision strategy and tools {Fourth}. Health Administration Press A Ppnlu