Telecom — Telecom Data Governance and Compliance Pipeline

Overview

The Telecom Data Governance and Compliance Pipeline is designed to ensure that telecom companies adhere to regulatory requirements regarding data governance. The primary purpose of this DAG is to ingest metadata and access logs from various sources, applying governance rules to maintain compliance. The data ingestion pipeline begins with the collection of metadata from systems such as CRM platforms, access logs from network operations, and data from regulatory compliance tools. Once ingested, th

The Telecom Data Governance and Compliance Pipeline is designed to ensure that telecom companies adhere to regulatory requirements regarding data governance. The primary purpose of this DAG is to ingest metadata and access logs from various sources, applying governance rules to maintain compliance. The data ingestion pipeline begins with the collection of metadata from systems such as CRM platforms, access logs from network operations, and data from regulatory compliance tools. Once ingested, the data undergoes a series of processing steps that include applying governance rules, validating data integrity, and conducting quality checks to ensure traceability. Quality controls are established to monitor data accuracy and compliance with regulatory standards. The outputs of this DAG consist of a compliance register that documents adherence to regulations, as well as alerts generated in the event of any violations. Key performance indicators (KPIs) are tracked to assess the effectiveness of governance measures, including the number of compliance violations, data accuracy rates, and the timeliness of alerts. By implementing this DAG, telecom organizations can significantly reduce the risk of non-compliance, enhance operational efficiency, and build trust with stakeholders through transparent data management practices.

Part of the Market & Trading Intelligence solution for the Telecom industry.

Use cases

• Reduces risk of regulatory fines and penalties.
• Enhances data quality and operational efficiency.
• Improves stakeholder trust through transparent practices.
• Facilitates timely responses to compliance issues.
• Supports strategic decision-making with accurate data insights.