Energy — Data Governance Framework for Compliance Assurance

Overview

The primary purpose of this DAG is to establish a robust data governance framework within the energy sector, ensuring compliance with relevant regulations and safeguarding sensitive information. The architecture consists of a series of interconnected nodes that facilitate the identification, protection, and auditing of sensitive data. The data sources include ERP transaction logs, customer databases, and regulatory compliance reports, which are ingested into the system for processing. The inge

The primary purpose of this DAG is to establish a robust data governance framework within the energy sector, ensuring compliance with relevant regulations and safeguarding sensitive information. The architecture consists of a series of interconnected nodes that facilitate the identification, protection, and auditing of sensitive data. The data sources include ERP transaction logs, customer databases, and regulatory compliance reports, which are ingested into the system for processing. The ingestion pipeline begins with the identification of sensitive data, followed by the implementation of access controls to restrict unauthorized access. Next, data masking policies are applied to protect sensitive information from exposure. Regular audits are conducted to evaluate compliance with established policies and regulations, ensuring that any discrepancies are promptly addressed. The results of these audits are documented in a compliance register, which serves as a vital output of the process. Monitoring key performance indicators (KPIs), such as the number of compliance breaches and audit completion rates, provides insights into the effectiveness of the governance framework. This structured approach not only enhances data security but also builds trust with customers and stakeholders. The business value derived from this DAG includes improved regulatory compliance, reduced risk of data breaches, and enhanced customer personalization through secure data handling.

Part of the Supply/Demand Forecast solution for the Energy industry.

Use cases

• Ensures compliance with industry regulations and standards
• Reduces risk of data breaches and associated penalties
• Enhances customer trust through secure data management
• Improves operational efficiency with streamlined governance processes
• Facilitates better decision-making through accurate data insights