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ESG Analytics for Dynamic Emissions Tracking

Industries

FinTech, Oil & Gas

Teсhnologies

PowerBI, PostgreSQL, NiFi, Python, Airflow,
SAP ERP
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Context and Objectives:

A leading Oil&Gas company, recognized the need for accurate and timely Environmental, Social, and Governance (ESG) data and analytics to contribute to it's Environmental Strategy and apply to the "Green credits" programs. The project's objective for CloudLab.studio was to develop an automated ESG Scopes 1,2,3 data collection, storage and validation pipelines and dashboards inline with international practices for ESG management in collaboration with the Tier-1 Global IT Service Provider.

Solution:

CloudLab embarked on a comprehensive project to create an analytics platform capable of monitoring financial and non-financial ESG indicators within the company's activities. This involved developing a unified ESG management system with scalable and flexible data control and visualization functionalities.

Functional Capabilities:

  • Data Collection and Storage:
    Monitored and analyzed ESG indicators, integrating various data sources and creating a centralized management system.
  • Reporting and Dashboards:
    Automated ESG reporting was aligned with requirements from CDP, SASB, GRI, and TCFD, enhanced by visualization in PowerBI dashboards. Data were analyzed and modeled to improve ESG indicators and facilitate management decisions.
  • Integration:
    The platform was integrated with internal and external systems, including SAP, to ensure a seamless flow of information.

Architecture:

A robust data pipeline, incorporating PowerBI for analytics visualization, PostgreSQL for database management, NiFi for data flow automation, Python for data processing and ML, and Airflow for orchestrating workflows. This system is connected with SAP S4 to get ERP data.

Value from Platform Implementation:

The adoption of the ESG platform led to a more agile and accurate ESG reporting process. It provided the company with the tools necessary to respond to increasing management and stakeholder demand for continuous ESG performance monitoring. Furthermore, it equipped the company to handle the dynamic nature of ESG factors, thereby contributing to a more sustainable and responsible business operation.

Conclusion:

The successful deployment of an ESG analytics platform marked a significant step forward for the company in the realms of sustainability and corporate governance. The platform not only streamlined ESG reporting and compliance but also positioned the company to better engage with stakeholders on sustainability issues and enhance its reputation as a leader in corporate responsibility.
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