Single-Family Energy Efficiency Analytics Improves Program Visibility and Rebate Management

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.

10+

Years of historical program data consolidated for trend analysis and reporting 

4

Major analytics domains delivered (Rebates, Projects, Contractors, Customer Acquisition) 

2

Salesforce environments integrated to provide a single view of the customer journey

Executive Summary

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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Client Overview

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.

Limited Data Visibility and Manual Processes Hindering Program Efficiency

 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.

Fragmented Data Across Multiple Systems

Fragmented Data Across Multiple Systems

Program data existed across Salesforce and spreadsheets, creating silos and limiting a complete operational view

Limited Customer Journey Visibility

Limited Customer Journey Visibility

The organization lacked the ability to track homeowners from initial engagement through completed upgrades, making it difficult to measure program effectiveness and conversion rates

Manual and Time-Consuming Reporting

Manual and Time-Consuming Reporting

Monthly and ad hoc reporting required extensive data exports, spreadsheet manipulation, validation, and distribution efforts, consuming valuable staff resources

Inconsistent Metrics and Limited Analytics

Inconsistent Metrics and Limited Analytics

Reporting lacked standardized business definitions, historical trend analysis, geographic insights, and advanced visualization capabilities needed for effective decision-making

 Limited Data Visibility and Manual Processes Hindering Program Efficiency

Fragmented Data Across Multiple Systems

Fragmented Data Across Multiple Systems

Program data across Salesforce and spreadsheets created silos and limited a complete operational view

Limited Customer Journey Visibility

Limited Customer Journey Visibility

The organization lacked end-to-end homeowner tracking, limiting program effectiveness and conversion insights

Manual and Time-Consuming Reporting

Manual and Time-Consuming Reporting

Monthly and ad hoc reporting required manual exports, validation, and distribution, consuming staff time

Inconsistent Metrics and Limited Analytics

Inconsistent Metrics and Limited Analytics

Reporting lacked standard definitions, trend analysis, geographic insights, and advanced visuals for effective decisions

 Building a Centralized, Automated Analytics Platform for Program Intelligence

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. 

Services Provided
  • Conducted stakeholder workshops and requirements analysis 
  • Assessed existing reporting processes and source systems 
  • Designed and implemented centralized analytics architecture 
  • Integrated rebate and advisory Salesforce environments 
  • Automated data aggregation and reporting processes 
  • Developed dimensional models and star schemas supporting analytical reporting 
  • Established common business definitions and standardized metrics. 
  • Delivered dashboards and reporting capabilities 
  • Implemented security and role-based reporting access 
  • Created a scalable foundation supporting future advanced analytics initiatives 
Business Solution

The solution delivered analytics capabilities across four major business areas: 

  • Rebate and Incentive Analytics: Providing visibility into incentive amounts, rebate status, incentive payments, installation costs, rebate trends  
  • Project and Energy Savings Analytics: Providing visibility into projects completed, measures installed, kwh savings, therm savings, equipment replacements, project trends  
  • Contractor Performance Analytics: Providing visibility into contractor participation, applications submitted, total savings delivered, measures installed, contractor productivity  
  • Customer Acquisition and Upgrade Analytics: Providing visibility into leads generated, advisor interactions, customer conversions, upgrade activities, completed projects, geographic penetration 
Technical Solution
  • Integrated data from Salesforce rebate and advisory systems, Microsoft Excel, and external files 
  • Implemented centralized data aggregation and reporting capabilities 
  • Developed dimensional models and star schemas supporting incentive, project, contractor, evaluation, acquisition, and upgrade analytics 
  • Established common metrics and governed reporting definitions 
  • Enabled automated reporting and scheduled data refresh processes 
  • Implemented role-based access and data governance controls 
  • Created a scalable architecture supporting future predictive analytics requirements 

Improved Program Visibility, Reporting Efficiency, and Data-Driven Decision Making

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.

Centralized Performance Visibility

Delivered a unified view of rebates, projects, contractors, customer engagement, and energy savings across the entire program lifecycle

Reduced Manual Reporting Effort

Automated data aggregation and reporting processes, eliminating labor-intensive spreadsheet-based workflows

End-to-End Customer Journey Tracking

Enabled visibility from initial homeowner engagement through completed upgrades and rebate fulfillment

Improved Strategic Decision-Making

Provided standardized metrics, interactive dashboards, and historical trend analysis to support data-driven planning

Enhanced Geographic Performance Analysis

Enabled county-level and city-level reporting to identify regional opportunities and measure program penetration

Future-Ready Analytics Foundation

Established a scalable architecture supporting self-service analytics, advanced reporting, and future predictive analytics initiatives

Tech Stack Summary

The solution leveraged a modern cloud-based data architecture to integrate, store, and analyze program data while enabling scalable reporting and visualization.

Data Sources(s)
Data Integration
Data Warehouse
Data Visualization
Data Cloud

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