Overview

Itineris Data Intelligence is a suite of data analytics and AI-driven tools built to centralize, enrich and visualise utility data (metering, consumption, asset and customer information) so utilities can optimise operations, run conservation programs, personalise customer journeys and enable data-driven decision making. The solution is offered alongside Itineris’ UMAX platform and is designed to integrate with smart meters, Azure services and BI tools to deliver automated insights and operational dashboards.

Features and Capabilities

• Data aggregation & hub: Centralised data ingestion and secure cloud storage that consolidates smart meter, IoT and operational datasets for analytics and long-term retention.
• Data enrichment & quality: Automated cleansing, transformation and verification routines (including AI-assisted extraction from unstructured sources) to improve accuracy before analytics.
• Analytics-as-a-Service: Managed analytics offerings that deliver prebuilt KPI dashboards, trend analysis, anomaly detection and custom reports for operational and executive users.
• AI-powered conservation programs: Machine-learning models to detect water leaks, abnormal usage patterns, and to trigger targeted conservation campaigns and routing for field teams.
• Customer insights & journey personalisation: Customer-level analytics that support segmented communications, personalised payment journeys and proactive engagement to reduce arrears.
• Integrations & platform connectors: Native connectors to UMAX (the Itineris CIS/CRM), Microsoft Power BI, Azure Data Lake and commonly used utility systems for seamless data flows.
• Self-service dashboards & visualisation: Role-based dashboards for planners, operations, customer service and executives with drill-down and export capabilities.
• APIs & open data access: Standard APIs and an open data layer to allow external consumption, advanced analytics and integration with portals or mobile apps.
• Security & compliance: Cloud security controls and governance designed for utility data handling and regulatory needs (enterprise-grade hosting and access controls).
• Managed services & support: Professional services for model development, deployment, and ongoing monitoring as part of Analytics-as-a-Service engagements.