Data and analytics engineers for Gentrack Logical Data Model

Gentrack is a leading New Zealand technology company engaged in the development, integration, and support of interactive cleantech solutions for the utility and airport industries across the globe. The company’s focus is on delivering essential meter-to-cash capabilities for utilities through technical infrastructure and an environment in which technology can optimize value to customers.

Gentrack’s software solutions are Velocity, Junifer, Evolve, and Veovo. Velocity and Junifer are enterprise billing and customer management software solutions. Their range of capabilities is diverse to satisfy the needs of both new water and energy suppliers and established utilities.

Evolve is a solution for revenue cost assurance and portfolio data management that helps utilities improve operational and revenue performance. Through operational and revenue insights, Gentrack’s Veovo enables airports’ efficient work and highlights growth opportunities.

As part of the Gentrack Logical Data Model, AI-driven analytics capabilities were introduced to help utilities extract value from large volumes of operational and customer data. Using out-of-the-box natural language processing in Power BI, business users can ask questions in plain language (for example, identifying top revenue contributors for a specific period) and automatically generate relevant visuals and insights without technical queries.

The solution also leverages AI/ML-based forecasting and anomaly detection built on historical data to identify trends, predict future performance, and highlight values that deviate from expected patterns. In addition, native AI/ML capabilities within Snowflake are used for anomaly detection directly at the data layer, enabling models trained on historical data to surface irregularities and visualize them without the need for external AI or visualization tools.