Ensuring Data Integrity Key Strategies: 1. Standardized Protocols: Clear data entry/validation procedures 2. Robust Technology: Data management software & error checking 3. Regular Audits: Frequent data reviews & corrections 4. Data Validation: Automated & manual checks 5. Training & Awareness: Educate teams on data importance Data Quality Checks: 1. Accuracy & Completeness 2. Consistency & Relevance 3. Timeliness & Updates Best Practices: 1. Document Data Processes 2. Assign Data Ownership 3. Monitor Data Changes 4. Use Data Certification Standards 5. Continuously Improve Processes Tools: 1. Data Management Software (DMS) 2. Data Quality Tools (DQT) 3. Spreadsheet Validation 4. Automated Data Validation

Establish Clear Data Governance Policies: Create guidelines for data management, including data entry, storage, and usage protocols. Assign roles and responsibilities to ensure accountability. Implement Data Validation Techniques: Use automated validation tools to check for errors, inconsistencies, and completeness during data entry. This can include range checks, format checks, and cross-verification against other data sources. Regular Audits and Data Cleansing: Conduct periodic audits to identify and rectify inaccuracies. Implement a regular data cleansing schedule to remove duplicates, outdated information, and incorrect entries. Utilize Robust Technology Solutions: Invest in reliable software and databases that support data integrity