Energy — Data Exposure for Business Users via Secure APIs

Free

This DAG facilitates the exposure of processed data through secure APIs, enabling business users to access relevant information. It ensures data is filtered and formatted according to user needs while maintaining stringent security measures.

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Overview

The primary purpose of this DAG is to expose processed energy data through secure APIs, providing business users with easy access to relevant information necessary for customer personalization. The architecture consists of multiple components that work together to ensure data is efficiently ingested, processed, and made available in a user-friendly format. The data sources include ERP transaction logs, customer interaction records, and energy consumption metrics. The ingestion pipeline begins wi

The primary purpose of this DAG is to expose processed energy data through secure APIs, providing business users with easy access to relevant information necessary for customer personalization. The architecture consists of multiple components that work together to ensure data is efficiently ingested, processed, and made available in a user-friendly format. The data sources include ERP transaction logs, customer interaction records, and energy consumption metrics. The ingestion pipeline begins with extracting data from these sources, followed by filtering and formatting to meet user specifications. Each processing step incorporates quality controls to ensure data integrity and security, with measures in place to protect sensitive information. The outputs of this DAG include structured API responses, detailed usage reports, and performance metrics for monitoring. Key performance indicators (KPIs) include API availability and latency, ensuring that business users can rely on timely access to data. The business value of this DAG lies in its ability to enhance customer personalization efforts, improve decision-making processes, and drive operational efficiency within the energy sector.

Part of the Customer Personalization solution for the Energy industry.

Use cases

  • Enhances customer personalization through tailored data access
  • Improves decision-making with timely and relevant information
  • Increases operational efficiency by streamlining data access
  • Strengthens data security and compliance with regulations
  • Facilitates better customer engagement and satisfaction

Technical Specifications

Inputs

  • ERP transaction logs
  • Customer interaction records
  • Energy consumption metrics

Outputs

  • Structured API responses
  • Detailed usage reports
  • Performance metrics for monitoring

Processing Steps

  1. 1. Extract data from ERP transaction logs
  2. 2. Gather customer interaction records
  3. 3. Collect energy consumption metrics
  4. 4. Filter data based on user requirements
  5. 5. Format data for API responses
  6. 6. Implement security measures for sensitive information
  7. 7. Deliver processed data via secure APIs

Additional Information

DAG ID

WK-0859

Last Updated

2025-10-29

Downloads

112

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