Modernized analytics with Snowflake, Tableau, and Cortex AI, enabling natural language access to program insights and faster decision-making.
Bay Area counties supported through a unified analytics platform
Energy efficiency programs integrated into a centralized data environment
Natural language business questions answered through Snowflake Cortex AI
A regional energy efficiency agency sought to improve visibility into program performance, participant engagement, rebate utilization, and energy efficiency outcomes across its service area. Fragmented data sources and reliance on static reporting limited the organization’s ability to effectively measure program impact and support data-driven decision-making.
DiLytics implemented a modern analytics solution leveraging Snowflake Data Cloud, Snowpark, Tableau, and Snowflake Cortex AI. The solution unified data from multiple programs into a centralized analytics platform, established a governed analytical data model, and enabled users to access insights through both interactive dashboards and a conversational AI interface.
The implementation transformed how agency personnel interacted with data, enabling natural language access to analytics, improving program visibility, accelerating insight generation, and supporting more effective optimization of regional energy efficiency initiatives.
A regional energy efficiency agency needed better visibility into program performance, participant engagement, rebate utilization, and energy savings outcomes. Disconnected data sources and static reporting limited insight generation and decision-making.
DiLytics implemented a cloud-based analytics solution using Snowflake, Tableau, Snowpark, and Snowflake Cortex AI. The platform unified program data, delivered interactive dashboards, and enabled users to access insights using natural language queries.
The solution improved analytics accessibility, accelerated reporting, enhanced program visibility, and supported more effective management of energy efficiency initiatives.
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The client is a US-based regional energy network agency formed through a collaboration of nine counties in the San Francisco Bay Area. It runs regional-scale energy efficiency programs that help single-family homeowners understand their energy consumption and make cost-effective energy-efficient home upgrades.
The agency relied on data from multiple program sources, making it difficult to gain a unified view of program performance and energy efficiency outcomes. Traditional reporting processes were largely static and manual, limiting users’ ability to explore data, identify trends, and make timely decisions. The organization required a modern analytics platform capable of delivering both self-service reporting and AI-powered access to insights.
DiLytics designed and implemented a modern analytics and AI solution leveraging Snowflake Data Cloud, Snowpark, Tableau, and Snowflake Cortex AI. The solution consolidated data from multiple program sources into Snowflake, established a governed analytical data model, and enabled users to interact with enterprise data through both interactive dashboards and a natural language conversational interface powered by Cortex AI.
The solution delivered capabilities across four major analytics areas:
The solution delivered capabilities across four major analytics areas:
The new analytics platform transformed how the organization consumed and interacted with data. By combining centralized reporting, self-service analytics, and conversational AI capabilities, the agency gained faster access to trusted insights and improved its ability to manage and optimize energy efficiency programs.
Delivered centralized visibility into program performance, participant engagement, rebate utilization, and energy efficiency outcomes
Enabled users to access information quickly through interactive dashboards and natural language queries
Provided timely, data-driven insights that supported more effective program planning and optimization
Simplified access to business information through conversational AI, making analytics accessible to a broader user community
Minimized manual effort associated with gathering, preparing, and analyzing program data
Established a modern cloud architecture capable of supporting future analytics, AI, and reporting initiatives
Delivered centralized visibility into program performance, participant engagement, rebate utilization, and energy efficiency outcomes
Enabled users to access information quickly through interactive dashboards and natural language queries
Provided timely, data-driven insights that supported more effective program planning and optimization
Simplified access to business information through conversational AI, making analytics accessible to a broader user community
Minimized manual effort associated with gathering, preparing, and analyzing program data
Established a modern cloud architecture capable of supporting future analytics, AI, and reporting initiatives
A cloud-based data and AI ecosystem unifies multiple program data sources into a centralized platform. Automated data integration, intelligent modeling, and conversational analytics enable real-time insights, streamline reporting, and accelerate data-driven decision-making.
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