One key advantage of using data analytics for decision-making is:

Utilizing data analytics for decision-making provides the advantage of enabling decisions based on empirical evidence. This means that decisions are grounded in measurable data and analyzed insights rather than subjective opinions or assumptions. By relying on empirical evidence, organizations can assess trends, patterns, and outcomes from past data, leading to more informed and effective decision-making processes. This reliance on data helps in minimizing biases and enhances the accuracy of predictions and strategies.

In contrast to the other options, which either downplay the value of data or suggest a reliance on less reliable sources, the correct choice highlights the core strength of data analytics: deriving insights from factual information. This approach ensures that decisions can be validated and adjusted based on real-world outcomes rather than mere guesswork or historical precedents without quantitative support.