Data Quality and Database Management Questions

Principles and practices for ensuring clean, accurate, and well governed marketing and customer databases. Covers data hygiene techniques such as deduplication, validation rules, field standardization, regular audits, record merging, archival policies, and remediation workflows. Includes data governance topics like data ownership, stewardship, policy definition, documentation, privacy and compliance controls, and role based access. Addresses marketing specific concerns such as CRM best practices, lead routing impacts, personalization accuracy, measurement and attribution implications, and how poor data quality affects analytics and revenue reporting. Candidates should be able to diagnose common integrity issues, propose tooling and process solutions, and explain how to operationalize data quality at scale across marketing and sales systems.