Skip to content
Carbon GPT Carbon GPT Carbon GPT

Integrations

This section covers all aspects of integrating Carbon GPT with your existing systems, data sources, and third-party applications to streamline data collection, enhance reporting, and extend functionality.

Introduction

Carbon GPT offers a robust integration ecosystem that allows you to connect with a wide range of enterprise systems, data sources, and specialized applications. These integrations help automate data collection, ensure data consistency, and embed carbon accounting into your existing business processes.

Key Integration Areas

Available Integrations

  • Available Integrations
  • Enterprise system connectors (ERP, CRM, etc.)
  • Utility data integrations
  • IoT and sensor network connections
  • Third-party sustainability platforms

Data Connectors

  • Data Connectors
  • File import/export capabilities
  • Database connection options
  • ETL pipeline configuration
  • Data mapping and transformation

Webhooks

  • Webhooks
  • Event-based integration
  • Webhook configuration
  • Payload formats and security
  • Testing and monitoring

Getting Started

Accessing Integrations

  1. Log in to Carbon GPT with administrator credentials
  2. Navigate to Admin > Integrations in the main navigation
  3. Select the specific integration area you want to configure

Integration Planning

Before implementing integrations, we recommend:

  1. Identify your integration needs and priorities
  2. Map your existing systems and data sources
  3. Determine data flow requirements
  4. Assess security and compliance considerations
  5. Develop an integration roadmap

Enterprise System Integrations

ERP Systems

Carbon GPT integrates with major ERP systems:

  • SAP: Connect to SAP ECC, S/4HANA, and other SAP modules
  • Oracle: Integrate with Oracle ERP Cloud, E-Business Suite, and JD Edwards
  • Microsoft Dynamics: Connect to Dynamics 365 Finance and Operations
  • NetSuite: Integrate with Oracle NetSuite ERP

These integrations enable automated data collection for:

  • Activity data (energy consumption, fuel use, etc.)
  • Financial data for spend-based calculations
  • Asset and facility information
  • Procurement and supply chain data

Business Intelligence

Connect Carbon GPT with BI platforms:

  • Power BI: Embed Carbon GPT data in Power BI dashboards
  • Tableau: Create integrated sustainability visualizations
  • Looker: Develop combined business and emissions analytics
  • Qlik: Build comprehensive ESG reporting solutions

Facility Management

Integrate with facility and energy management systems:

  • Building Management Systems: Connect to major BMS platforms
  • Energy Management Systems: Automate energy data collection
  • Smart Meter Systems: Direct integration with utility meters
  • IoT Platforms: Connect to sensor networks and IoT hubs

Data Connector Configuration

File Import/Export

Configure automated file transfers:

  1. Navigate to Data Connectors
  2. Select File Import/Export
  3. Configure source/destination locations
  4. Set up file formats and mapping
  5. Schedule automated transfers

Database Connections

Connect directly to databases:

  1. Navigate to Data Connectors
  2. Select Database Connections
  3. Configure connection parameters
  4. Set up data queries and mapping
  5. Schedule synchronization frequency

ETL Pipelines

Set up data transformation workflows:

  1. Navigate to Data Connectors
  2. Select ETL Configuration
  3. Define extraction sources
  4. Configure transformation rules
  5. Set up loading destinations

Webhook Configuration

Setting Up Webhooks

To configure webhooks:

  1. Navigate to Webhooks
  2. Click Create Webhook
  3. Select trigger events
  4. Configure destination URL and authentication
  5. Set retry policies and error handling

Available Webhook Events

  • Data updates and changes
  • Report generation and completion
  • Calculation events and results
  • User and permission changes
  • System alerts and notifications

Best Practices

Integration Security

  • Implement the principle of least privilege for integrations
  • Encrypt data in transit and at rest
  • Audit integration access and activity
  • Implement IP restrictions where appropriate

Data Management

  • Establish clear data ownership and governance
  • Document data mappings and transformations
  • Implement data validation and quality checks
  • Maintain data lineage and audit trails
  • Regularly review and optimize data flows

Performance

  • Monitor integration performance and latency
  • Implement appropriate error handling and retry logic
  • Schedule high-volume transfers during off-peak hours
  • Batch requests when appropriate
  • Implement caching strategies where applicable

Maintenance

  • Document all integration configurations
  • Develop testing procedures for updates
  • Establish monitoring and alerting
  • Create backup and recovery plans
  • Regularly review and update integrations