3-2 Assignment: Communicating With Nontechnical Audiencessou

3-2 Assignment: Communicating With Nontechnical AudiencesSouthern New Hampshire University DAT-300: Data Valid: Getting Right Data 09:20:38 GMT -05:00Data quality is the condition of data based on factors such as accuracy, completeness, reliability, and relevance. High-quality data is necessary for making informed decisions and ensuring that the data being used is correct and reliable. The accuracy of the data refers to the degree of correctness that the data represents in the real world. Accurate data ensures that decisions are made based on correct information and reduces errors. Complete data is when all the required data is present. Incomplete data does not fully represent the big picture. Think of it as a puzzle with pieces missing. You can generally get an idea of what’s needed but the picture isn’t complete. The data must be relevant. You wouldn’t want information on a 1968 Mustang GT when you’re looking for information on a 1990 Camaro Z28.The primary purpose of maintaining high quality data is to guarantee that decision makers have access to accurate and reliable information. This leads to better business outcomes because decisions are based on trustworthy data. High data quality also helps in maintaining compliance with regulations, improves customer