Data Governance

• Policy Development: Creating and implementing data governance policies and procedures to ensure data integrity, quality, and security.

• Standards Enforcement: Establishing and enforcing data standards and best practices across the organization.

• Data Management Framework: Developing a comprehensive data management framework to oversee data collection, storage, processing, and usage.

Data Quality Management

• Data Quality Assurance: Implementing processes to ensure the accuracy, completeness, consistency, and reliability of data.

• Data Validation: Conducting regular data validation and verification to detect and correct data errors or anomalies.

• Quality Metrics: Defining and monitoring data quality metrics and key performance indicators (KPIs).

Data Protection and Privacy

• Regulatory Compliance: Ensuring compliance with data protection regulations, such as GDPR, CCPA, and other relevant laws.

• Privacy Policies: Developing and maintaining privacy policies and practices to protect personal and sensitive information.

• Data Subject Rights: Managing requests related to data subject rights, such as access, rectification, and deletion of personal data.

Data Security

• Security Measures: Implementing data security measures to protect against data breaches, unauthorized access, and data loss.

• Risk Management: Conducting risk assessments to identify vulnerabilities and implementing mitigation strategies.

• Incident Response: Developing and overseeing data breach response plans, ensuring timely and effective response to data security incidents.

Data Lifecycle Management

• Data Inventory: Maintaining an inventory of data assets, including data sources, data flows, and data storage locations.

• Data Retention: Establishing and managing data retention policies to determine how long data should be kept and when it should be disposed of.

• Archiving and Deletion: Overseeing the archiving and secure deletion of data in accordance with retention policies.

Data Strategy and Analytics

• Data Strategy: Developing and implementing a data strategy that aligns with the organization’s goals and objectives.

• Analytics Support: Supporting data analytics initiatives by ensuring the availability of high-quality data and facilitating data access for analysts.