Why is data integrity important in decision making?

Data integrity is crucial in decision-making because it ensures the reliability and accuracy of the data used in the decision-making process. When data has integrity, stakeholders can trust that the information is accurate, complete, and consistent. This trust is foundational for making informed decisions based on that data. If the data is flawed or corrupted, any decisions made based on it could lead to incorrect conclusions, wasted resources, or even significant business risks.

In addition, reliable data allows organizations to identify trends, forecast outcomes, and implement strategies with confidence. Without data integrity, decision-makers may face challenges in constructing valid analyses or deriving meaningful insights. Therefore, the soundness of decision-making directly hinges on the quality of the data involved, making data integrity a fundamental aspect of effective decision-making.