Data integrity ensures reliable outcomes in analytics by maintaining the accuracy and consistency of data over its lifecycle. It involves implementing appropriate controls and validation processes to protect against data corruption, unauthorized access, and errors. Ensuring data integrity is crucial for making informed decisions based on trustworthy insights. Organizations that prioritize data integrity can enhance their decision-making processes, improve compliance, and build trust with stakeholders by delivering reliable and accurate information.