DiLytics implemented a centralized analytics solution that integrated disparate data sources, automated reporting processes, and delivered actionable insights to support program optimization and decision-making.
Years of historical program data consolidated for trend analysis and reporting
Major analytics domains delivered (Rebates, Projects, Contractors, Customer Acquisition)
Salesforce environments integrated to provide a single view of the customer journey
BayREN’s Single-Family Program promotes residential energy efficiency through rebates, advisor services, and contractor partnerships across nine Bay Area counties. However, fragmented systems and spreadsheet-based reporting limited visibility into customer journeys, project performance, rebates, and energy savings.
DiLytics implemented a Single-Family Program Analytics solution as part of BayREN’s enterprise Data Aggregation and Reporting initiative. The solution integrated multiple data sources, standardized program metrics, and delivered centralized analytics supporting rebate management, contractor performance, customer acquisition, and energy savings reporting.
The implementation improved reporting efficiency, enhanced visibility into program performance, enabled self-service analytics, and established a scalable foundation for future advanced analytics, helping BayREN maximize the impact of its residential energy efficiency initiatives.
BayREN’s Single-Family Program relied on disconnected systems and manual reporting processes that limited visibility into customer journeys, rebates, contractor performance, and energy savings. DiLytics implemented a centralized analytics solution that integrated multiple data sources, automated reporting, standardized metrics, and delivered actionable dashboards. The solution improved reporting efficiency, enhanced decision-making, and created a scalable analytics foundation for future growth.
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The Bay Area Regional Energy Network (BayREN) is a collaborative initiative of the nine counties in the San Francisco Bay Area, focused on delivering energy efficiency and sustainability programs. The Single Family Program supports homeowners in adopting energy-efficient upgrades through rebates and technical assistance, driving regional climate and sustainability goals.
BayREN’s Single-Family Program data was distributed across multiple Salesforce environments, Excel files, and manual reporting processes. The lack of integration created reporting inefficiencies and limited the organization’s ability to measure program effectiveness, customer engagement, and energy savings outcomes.
DiLytics designed and implemented a Single-Family Program Analytics solution as part of BayREN’s enterprise Data Aggregation and Reporting initiative. The solution automated the consolidation of data across multiple systems, standardized key performance metrics, and delivered centralized reporting capabilities supporting rebate management, project performance, contractor activity, customer acquisition, and energy savings analysis.
The solution delivered analytics capabilities across four major business areas:
The solution delivered analytics capabilities across four major business areas:
The analytics solution provided BayREN with a unified view of program performance while significantly reducing manual reporting efforts. Stakeholders gained access to timely, trusted insights that improved operational visibility, planning, and program optimization.
Delivered a unified view of rebates, projects, contractors, customer engagement, and energy savings across the entire program lifecycle
Automated data aggregation and reporting processes, eliminating labor-intensive spreadsheet-based workflows
Enabled visibility from initial homeowner engagement through completed upgrades and rebate fulfillment
Provided standardized metrics, interactive dashboards, and historical trend analysis to support data-driven planning
Enabled county-level and city-level reporting to identify regional opportunities and measure program penetration
Established a scalable architecture supporting self-service analytics, advanced reporting, and future predictive analytics initiatives
Delivered a unified view of rebates, projects, contractors, customer engagement, and energy savings across the entire program lifecycle
Automated data aggregation and reporting processes, eliminating labor-intensive spreadsheet-based workflows
Enabled visibility from initial homeowner engagement through completed upgrades and rebate fulfillment
Provided standardized metrics, interactive dashboards, and historical trend analysis to support data-driven planning
Enabled county-level and city-level reporting to identify regional opportunities and measure program penetration
Established a scalable architecture supporting self-service analytics, advanced reporting, and future predictive analytics initiatives
The solution leveraged a modern cloud-based data architecture to integrate, store, and analyze program data while enabling scalable reporting and visualization.










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