Media — Data Governance Framework for Media Streaming Services

Overview

The Data Governance Framework for Media Streaming Services DAG is designed to enforce robust data governance policies within the media industry, ensuring compliance with data protection regulations while safeguarding sensitive information. The pipeline begins with the ingestion of various data sources, including user activity logs, content metadata, and regulatory compliance documents. These inputs are processed through a series of steps that include access control enforcement, data masking for

The Data Governance Framework for Media Streaming Services DAG is designed to enforce robust data governance policies within the media industry, ensuring compliance with data protection regulations while safeguarding sensitive information. The pipeline begins with the ingestion of various data sources, including user activity logs, content metadata, and regulatory compliance documents. These inputs are processed through a series of steps that include access control enforcement, data masking for sensitive information, and lineage tracking to ensure transparency. Regular audits are conducted to assess compliance with data governance policies, and the results are documented and reported to stakeholders for evaluation. Key performance indicators (KPIs) such as compliance rates, audit findings, and access control violations are monitored to ensure the effectiveness of the governance framework. The outputs of this DAG include compliance reports, data lineage documentation, and audit logs, which are essential for maintaining regulatory compliance and enhancing data security. By implementing this governance framework, media organizations can mitigate risks associated with data breaches, enhance trust with users, and ensure adherence to legal requirements, ultimately driving business value and operational efficiency.

Part of the AI Assistants & Contact Center solution for the Media industry.

Use cases

• Enhanced data security to protect user information
• Improved regulatory compliance reduces legal risks
• Increased transparency builds trust with stakeholders
• Streamlined data management processes for efficiency
• Proactive identification of potential data governance issues