Telecom — Data Governance for Compliance and Security in Telecom

Overview

The purpose of this DAG is to establish robust data governance mechanisms that ensure compliance with regulatory standards and enhance data security across telecom operations. The data sources include internal systems such as customer relationship management (CRM) platforms, billing systems, and external data feeds from regulatory bodies. The ingestion pipeline begins with the collection of access logs and sensitive customer data, followed by a series of processing steps designed to audit access

The purpose of this DAG is to establish robust data governance mechanisms that ensure compliance with regulatory standards and enhance data security across telecom operations. The data sources include internal systems such as customer relationship management (CRM) platforms, billing systems, and external data feeds from regulatory bodies. The ingestion pipeline begins with the collection of access logs and sensitive customer data, followed by a series of processing steps designed to audit access, mask sensitive information, and generate compliance reports. The processing logic involves applying predefined rules to identify unauthorized access attempts, implementing data masking techniques to protect personally identifiable information (PII), and compiling comprehensive reports that demonstrate compliance with industry regulations. Quality controls are integral to this workflow, ensuring that all operations adhere to security standards and that data integrity is maintained. The outputs of this DAG include detailed compliance reports, masked datasets for secure usage, and archived records for future audits. Monitoring key performance indicators (KPIs) such as the number of access violations, the effectiveness of data masking, and report generation timelines are essential for assessing the efficacy of the governance framework. By ensuring compliance and enhancing data security, this DAG delivers significant business value by mitigating risks associated with data breaches and regulatory fines, thereby fostering trust among customers and stakeholders.

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

Use cases

• Reduces risk of data breaches and regulatory penalties
• Enhances customer trust through improved data security
• Streamlines compliance reporting processes for efficiency
• Facilitates better decision-making with accurate data governance
• Supports regulatory compliance across multiple jurisdictions