This EPIC aims to improve the data quality within the customer database by addressing current issues such as missing contact information, incorrect addresses, and duplicate records. We will implement validation rules, perform a data audit, and automate data quality checks to ensure accurate and complete beneficiary data.

Acceptance Criteria:

• All beneficiary data discrepancies (e.g., missing phone numbers, duplicate entries, beneficiary data) identified and cleaned.
• Validation rules implemented for beneficiaries data entry and imports.
• Automated data quality checks created and integrated into the system.
• Regular reports generated for stakeholders to track data quality improvements.