Structured registry with data classification by area, municipality, SLA, contracts, and schedules.

Automatic detection and monitoring of technical, energy, and management data.

Optimized historical data storage, consumption/waste forecasting, and interpolation with external data sources.

Plans, budgets, actuals, zones, municipalities, buildings, authorization levels.

Configurable controls for users, roles, and specific functions.

Notifications about deadlines, anomalies, mandatory interventions, and change management.

Thanks to the Datalakehouse architectural layer, which optimizes data storage space and simplifies maintenance.

A functional roadmap shared with real clients to support the solution’s growth in line with their business needs.

Best-fit technological features, such as scalable storage, immediate access to historical data, correlation with weather data, and data acquisition from IoT channels.

Activation of operational processes and customized functionalities, even partially, based on roles and relevant functions.

A set of measurable indicators for each active feature, with applicable automatic benchmarks.

Regulatory compliance of the application solution to manage regulatory developments in the public administration, energy sector, and in accordance with ARERA guidelines.

All data in a single system—correlated and traceable—with control tools ensuring full transparency over production and consumption status.

Highlighting variances between budget and actuals, with actionable insights and simulation scenarios applied to energy production and consumption.

Automated workflows, intelligent alerts, and reduced manual activities.

Seamless integration with third-party solutions and existing public administration modules within the application map, enabling targeted and detailed collection of information for executive reporting.

Clear reports for local authorities, regional governments, and investors, also aligned with the objectives of the National Recovery and Resilience Plan (NRRP).

Accurate insights into production and consumption trends, enabled by a data collection and organization approach that considers multiple analytical dimensions (plan, budget, actuals, etc.).