What steps do you take to ensure data integrity and prevent data corruption during analysis?

Sample interview questions: What steps do you take to ensure data integrity and prevent data corruption during analysis?

Sample answer:

Establish data quality standards: Define acceptable levels of data accuracy, completeness, and consistency. Implement automated data validation checks to identify and flag anomalies.
Maintain data duplication: Create backups of raw data and processed results to prevent data loss in case of hardware failure or human error.
Use version control for data analysis: Utilize tools like Git to track changes to data and code, allowing for easy rollback and collaboration.
Encrypt sensitive data: Implement encryption measures to protect confidential information from unauthorized access or data breaches.
Monitor data integrity continuously: Utilize data profiling tools to monitor data quality metrics over time and identify potential issues early on.