Data Best Practices

Effective data management is crucial for organizations to ensure data accuracy, security, and accessibility. Here are some best practices in data management:

  1. Data Governance:

    • Establish clear data governance policies and procedures.

    • Define roles and responsibilities for data management within the organization.

    • Ensure compliance with data regulations and industry standards.

  2. Data Quality:

    • Regularly assess and improve data quality.

    • Implement data validation rules and checks.

    • Standardise and cleanse data to remove inconsistencies.

  3. Data Security:

    • Implement robust security measures to protect sensitive data.

    • Use encryption for data in transit and at rest.

    • Password protect data in movement.

    • Restrict access to data based on roles and permissions.

  4. Data Privacy:

    • Obtain explicit consent for collecting and using personal data.

    • Educate employees on data privacy practices.

  5. Data Lifecycle Management:

    • Define and implement data retention policies.

    • Regularly review and purge outdated or redundant data.

    • Archive/Purge data that is no longer actively used but may have historical value.

    • Recommend to clients in data purging captured in CMSs each week. Minimising the impact if hacking.

  6. Master Data Management (MDM):

    • Establish a single source of truth for critical data elements.

    • Create and maintain a master data repository.

    • Implement data governance practices specific to master data.

  7. Data Integration:

    • Ensure seamless integration between different systems and data encryption

    • Use standardized formats for data exchange.

  8. Data Backup and Recovery:

    • Regularly back up critical data.

    • Test backup and recovery processes periodically.

  9. Training and Awareness:

    • Train employees on data management best practices.

    • Foster a data-centric culture within the organization.

    • Encourage awareness of the importance of data security and privacy.

  10. Performance Monitoring:

    • Monitor data performance regularly.

    • Set up alerts for anomalies or issues.

    • Optimize data storage and processing based on performance metrics.

Implementing these best practices can help organizations create a robust data management framework, ensuring the integrity, security, and usability of their data assets.

Our main goal is to ensure all data transfer is encrypted and password protected when in movement, and purging data regularly to minimise the impact of data breaches.

How to contact us

If you have a question or concern in relation to our handling of your personal information or this Policy, you can contact us for assistance as follows: