To ensure data accuracy and consistency across different systems.

To improve data accessibility and usability for various stakeholders.

To establish policies and standards for data management and usage.

To enhance data security and protect sensitive information.

Data Lineage

Data Quality Management

Data Security and Privacy

Data Integration and Interoperability

To oversee and enforce data governance policies and standards.

To manage and maintain data quality and integrity.

To develop and implement data security measures.

To facilitate data sharing and collaboration among stakeholders.

Data Silos and Fragmentation

Lack of Data Standardization

Data Security and Privacy Concerns

Data Integration and Interoperability Issues

To ensure the accuracy, completeness, and consistency of data.

To identify and correct data errors and inconsistencies.

To establish data quality standards and metrics.

To monitor and report on data quality issues.

Data Governance Framework (DGF)

Data Management Body of Knowledge (DMBOK)

ISO/IEC 27001:2013

General Data Protection Regulation (GDPR)

To provide information about data assets and their characteristics.

To facilitate data discovery and understanding.

To enable data lineage tracking and analysis.

To support data integration and interoperability.

Data Transparency and Accessibility

Data Security and Privacy

Data Quality and Integrity

Data Accountability and Ownership

To enable seamless data sharing and exchange between different systems and platforms.

To ensure data consistency and accuracy across various data sources.

To facilitate data analysis and reporting across multiple data sets.

To improve data accessibility and usability for various stakeholders.

Apache Airflow

Apache Kafka

Apache Spark

Apache Hadoop

To protect data from unauthorized access, use, or disclosure.

To comply with regulatory requirements and industry standards.

To establish data classification and sensitivity levels.

To implement data encryption and access control mechanisms.

Centralized Data Management

Data Democratization

Self-Service Data Access

Data Governance as a Continuous Process

To provide reliable and trustworthy data for analysis and decision-making.

To establish data standards and ensure data consistency.

To facilitate data sharing and collaboration among stakeholders.

To promote data literacy and data-driven culture within the organization.

Lack of Executive Support and Commitment

Insufficient Resources and Budget

Data Governance Silos and Fragmentation

Rapidly Changing Data Landscape

To ensure data accuracy and consistency across different systems.

To improve data accessibility and usability for various stakeholders.

To establish policies and standards for data management and usage.

To enhance data security and protect sensitive information.