Counties Energy Accelerates Its Data Future with Snowflake’s AI Data Cloud

Fast Implementation

Enterprise-wide data platform delivered in just months.

AI‑Ready Foundation

Snowflake’s AI Data Cloud powering secure, organisation‑wide insights.

About Counties Energy

Counties Energy is a community-owned electricity distribution business serving ~50,000 customers across South Auckland and northern Waikato. As the energy landscape shifts toward decarbonisation, distributed energy resources, and real-time decision making, the organisation needed a modern data foundation to support its evolving network and customer needs.

The Challenge
The Challenge

Counties Energy faced increasing pressure to modernise its data environment:

  • Legacy data spread across disconnected systems built up over 100+ years
  • Limited visibility for business users needing operational insights
  • Manual processes for detecting meter data issues
  • Rising demands from EVs, solar, batteries, and DER integration

A scalable, secure, future‑proof data platform was essential.

Additionally, the presence of various tools and technologies across Australia and New Zealand makes it hard to establish a unified data. The absence of a standard approach to data science also complicates efforts. Prolonged delivery times hinder team productivity, and the current tools are not future proof, which necessitated a comprehensive data transformation initiative.

The Solution: Snowflake AI Data Cloud

Partnering with dataengine, Counties Energy rapidly implemented Snowflake, establishing an enterprise-ready data platform within months.

Improving Meter Data Trust & Quality

dataengine delivered targeted engineering enhancements including:

  1. Automated Data Quality Monitoring
    Real-time alerts for anomalies in:
  • half-hourly consumption
  • power quality readings
  • meter configuration and existence
  1. Improved Access Visibility
    IAM role-based controls replaced generic service accounts, increasing transparency and security.
  2. Full Auditability
    Standardised data capture and processing created a consistent, reliable foundation for analytics.

Data Democratisation with Cortex Analyst

With Snowflake Cortex Analyst, business users can now ask natural‑language questions—no SQL required—dramatically expanding access to insights and reducing reliance on specialist teams.

The Outcome

Counties Energy now has a modern, AI-ready data ecosystem built for future energy demands.

“dataengine’s been fantastic for us in getting up and running quickly… Within a matter of months, we went from no central data to a system where people can query using Cortex Analyst—something never possible before.”


John Martin, Chief Architect, Counties Energy

Key Achievements
  • Rapid Deployment: Production Snowflake environment in months
  • Higher Data Quality: Automated monitoring and reduced manual effort
  • Democratised Insights: Conversational analytics for all users
  • Scalable Platform: Ready for new datasets and modern energy technologies
  • Operational Benefits: Better decisions and improved customer value
  • Strategic Enablement: Snowflake now central to the organisation’s data future

 

Counties Energy is now equipped to manage decarbonisation, DER growth, and rising customer expectations.

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