Final answer:
The data analyst's proactive approach to verifying the accuracy of their work and communications, and making certain that instructions are clear, exemplifies Quality Assurance. This involves a systematic process aimed at preventing mistakes and ensuring that products or services meet specified requirements.
Step-by-step explanation:
When executing a plan, a data analyst performs specific actions like double-checking their work, reading emails twice before sending them, and making sure instructions are clear and correct the first time. This proactive approach saves the company time, money, and effort by ensuring that details are not overlooked. This behavior is an example of Quality Assurance.
Quality assurance involves a systematic process of checking to make sure a product or service meets specified requirements and is error-free. It is in place to prevent mistakes and defects in manufacturing and service delivery, thereby avoiding problems when delivering solutions to customers. Experts in this area often have a good intuition about the right answer and use detailed analysis to confirm their thoughts, thereby catching possible mistakes. Keeping the timeline of events in order also assists in maintaining the accuracy of the analysis.