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Data Governance

  1. Data Strategy Development: Establishing a clear vision and strategy for managing and leveraging data assets to support organizational goals and objectives.
  2. Data Policy and Standards Establishment: Defining policies, standards, and guidelines for data management, including data quality, privacy, security, and usage.
  3. Data Quality Management: Implementing processes and controls to ensure the accuracy, completeness, consistency, and integrity of data across the organization.
  4. Data Lifecycle Management: Managing data throughout its lifecycle, from creation or acquisition to archival or disposal, ensuring appropriate retention and deletion policies are followed.
  5. Metadata Management: Capturing, cataloging, and maintaining metadata to provide context and understanding of data assets, including data lineage, definitions, and relationships.
  6. Master Data Management (MDM): Establishing processes and systems for managing master data entities across the organization, ensuring consistency and accuracy.
  7. Data Classification and Sensitivity: Classifying data based on its sensitivity and criticality to the organization, and implementing appropriate access controls and security measures.
  8. Data Privacy and Protection: Ensuring compliance with data privacy regulations and standards, protecting personal and sensitive data from unauthorized access or disclosure.
  9. Data Security and Access Controls: Implementing measures to protect data assets from unauthorized access, including role-based access controls, encryption, and data masking.
  10. Data Governance Operating Model: Establishing governance structures, roles, responsibilities, and processes for overseeing and managing data governance activities.
  11. Data Stewardship: Appointing data stewards responsible for overseeing data assets within specific business areas or domains, ensuring data quality, integrity, and compliance.
  12. Data Governance Metrics and Reporting: Establishing key performance indicators (KPIs) and metrics to measure the effectiveness of data governance efforts and reporting on progress to stakeholders.
  13. Data Compliance and Regulatory Reporting: Ensuring compliance with relevant data regulations and standards, and providing reporting and documentation as required by regulatory bodies.
  14. Data Governance Training and Awareness: Providing training and awareness programs to educate employees about data governance principles, policies, and best practices.
  15. Data Governance Review and Assurance: Conducting regular audits and assessments to evaluate compliance with data governance policies and standards and identify areas for improvement.

IT Governance

  1. Strategic Alignment: Aligning IT strategies and initiatives with the overall business goals and objectives.
  2. IT Investment Management: Ensuring efficient allocation of resources and prioritization of IT investments to maximize business value.
  3. Risk Management: Identifying, assessing, and mitigating IT-related risks to protect the organization’s assets and interests.
  4. Performance Management: Monitoring and measuring IT performance against predefined goals and benchmarks.
  5. IT Service Management: Establishing processes and procedures for delivering and managing IT services effectively and efficiently.
  6. Compliance and Legal Requirements: Ensuring compliance with relevant laws, regulations, and industry standards related to IT operations and data management.
  7. Information Security: Implementing measures to protect the confidentiality, integrity, and availability of information assets.
  8. Vendor Management: Managing relationships with IT vendors and service providers to ensure alignment with organizational objectives and standards.
  9. Change Management: Implementing processes for managing changes to IT systems and infrastructure to minimize disruptions and ensure smooth transitions.
  10. IT Architecture and Standards: Establishing and maintaining IT architecture principles, standards, and guidelines to ensure consistency and interoperability across the organization.
  11. IT Governance Framework: Implementing a structured framework for IT governance, including defining roles, responsibilities, and decision-making processes.
  12. IT Risk Assessment and Mitigation: Conducting regular risk assessments and implementing controls to mitigate identified risks effectively.
  13. Data Governance: Establishing policies, processes, and controls for managing data assets throughout their lifecycle, including data quality, privacy, and security.
  14. Business Continuity and Disaster Recovery: Developing and maintaining plans and procedures to ensure business continuity in the event of IT disruptions or disasters.
  15. IT review and Assurance: Conducting regular audits and assessments to ensure compliance with IT governance policies and standards and identify areas for improvement.