Madison Energy Infrastructure

Data Cloud and Snowflake for Madison Energy Infrastructure

Madison Energy Infrastructure (MEI) is a leading clean energy developer and long-term asset owner committed to delivering sustainable results for its partners and customers with certainty, speed, and trust. Possessing a robust portfolio, comprised of over half a gigawatt of clean energy infrastructure projects across more than 25 states, MEI offers a comprehensive suite of services from project development and engineering to construction, financing, and asset management.

Project Impact

Madison Energy Infrastructure continued working with Trifecta to make their data connected and accessible through a full implementation of Data Cloud with a Snowflake integration.

Services Provided

Industries

The Challenge

Madison Energy Infrastructure needed a full, initial implementation and setup of Data Cloud with a Snowflake integration.

Madison Energy Infrastructure operates a number of solar arrays across the country which garner financial, geographical, and power generation data. These data points are stored in Snowflake, which need to be integrated into Data Cloud. This integration will allow their team to activate the data from Snowflake across the Salesforce ecosystem and customer portal.

Our Strategy

Trifecta worked with Madison Energy Infrastructure to implement Data Cloud, as well as build the connection between Data Cloud and Snowflake.

Together, Trifecta and Madison Energy Infrastructure designed the data architecture in Snowflake and the corresponding objects in Data Cloud. This gave Trifecta the final piece needed to complete the initial setup and implementation of Data Cloud.

After setting up Data Cloud, Trifecta created the connection to Snowflake by leveraging the built-in connector. The scalable data architecture was built by setting up the data streams that connect to Snowflake, then creating several Data Model Objects (DMOs) that are mapped to the appropriate data streams.

Trifecta then created a new section for insights in the customer portal. This took data from Data Cloud and clearly displays it for customers in dynamic visualizations like charts and graphs.

Data Cloud Implementation

Key Benefits of Data Cloud

Modern Data Platform

Scalable, unified platform for data collection, analysis, and actionable insights

Seamless Interactions

Easily connect with Snowflake and other platforms

Flexible Data Access (Zero Copy)

Either batch data or access in near-real-time, depending on your needs

Simplified Data Exposure

Streamlines the process of making data available in the customer portal

Improved Performance

Faster data retrieval and potentially quicker load times for end users

Expanded Data Utilization

Unlock more possibilities for activating and leveraging data once it's in Data Cloud

Future-Ready Integrations

Prepare for upcoming capabilities, including potential integration with Agentforce

CRM Modernization Opportunity

Ability to migrate existing CRM Analytics connections to Data Cloud

The Results

Madison Energy Infrastructure has made their data unified and accessible through their Data Cloud implementation with a Snowflake integration.

With a successful Data Cloud implementation, Madison Energy Infrastructure has a scalable platform for their data. Enhanced analytics and greater visibility empower smarter, faster decision-making through data-driven insights.

The Snowflake integration gives Madison Energy Infrastructure the power of data connectivity. The Zero-Copy nature of this data architecture eliminates manual alignment between platforms.

The customer portal now delivers a faster, more intuitive way for users to access key information while exploring potential solar installation sites. This implementation continues to demonstrate its scalability and flexibility, with several new data sources already seamlessly added to the portal.

As Madison Energy Infrastructure looks to the future, their Data Cloud instance is now a solid foundation for exploring AI and Agentforce. They will be capable of adopting automation when the right use-case fits their organization’s needs.

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