What principle is summarized by the phrase "garbage in, garbage out" (GIGO)?

The phrase "garbage in, garbage out" emphasizes the importance of input quality in data processing. It means that if the data fed into a system is inaccurate or of low quality, the outputs produced will likewise be flawed or unreliable. This principle highlights the fundamental idea that any data analysis, reporting, or decision-making based on incorrect or poor-quality data can lead to misleading results and poor conclusions, adversely impacting the effectiveness of any operation or strategy that relies on that data.

High-quality data is essential not only for achieving accurate outputs but also for fostering informed decision-making within an agency. Without reliable input data, even sophisticated systems and advanced analytics can yield misleading outcomes, potentially compromising organizational goals and customer service. The other alternatives touch on important aspects of data management and performance but do not encapsulate the core idea of GIGO as effectively as the principle of flawed outputs stemming from inaccurate data.