Analytics as a Service
Unlock the power of data to support intelligent decision-making and forecasting
Trilliant’s Analytics as a Service empowers utilities worldwide to unlock data for deeper insights and enhanced decision-making
By leveraging advanced AI and machine learning, Analytics as a Service transforms raw data into actionable intelligence, enabling better forecasting, resource management, and outcome prediction. This platform expertly manages large volumes of information, generating value through greater automation, improved productivity, increased profitability, and reduced energy loss.
Key Features
- Cloud- Independent, Subscription-Based Platform: Analytics as a Service is a flexible, cloud-independent solution that integrates seamlessly with existing tools and environments. While Analytics as a Service is cloud-based, supported by any cloud provider including Azure, AWS and Google Cloud, the offering can also be deployed and managed on-premises.
- Comprehensive Data Analysis: Acts as a data scientist, enhancing capabilities of data sources like Trilliant’s Prime Energy Suite and Unity Suite® Head End System (HES), or third-party tools.
- Interoperable Solution: Our system exchanges information with numerous back-office systems such as HES, GIS, OMS, CIS, ERP, SCADA, ADMS, and Enterprise Portal through industry standards like Multispeak and CIM.
- Improved Decision-Making: Big data enables predictive analytics, creates transparency, and enhances customer relationships. It transforms data models into actionable insights for intelligent decision-making.
- Flexible and Secure: Our solution has a multi-tenant architecture, is flexible, scalable, and offered as software as a service. Cybersecurity is based on NIST SP 800-53, NIST CSF, FedRAMP, ISO 27001, ISO 27034, SOX, and FIPS 199 frameworks.
Capabilities of Analytics as a Service
- Predictive Maintenance: Utilizes machine learning algorithms to predict equipment failures and schedule maintenance proactively, reducing downtime and operational costs.
- Customer Segmentation: Analyzes customer data to identify distinct segments, enabling targeted marketing and personalized customer experiences.
- Energy Consumption Forecasting: Provides accurate forecasts of energy consumption patterns, helping utilities manage supply and demand more effectively.
- Non-Technical Losses (NTL) and Fraud Detection: Detects and analyzes data to identify anomalies indicating energy theft or loss, allowing utilities to take corrective actions.
- Employs advanced analytics to detect and prevent fraudulent activities in real-time, enhancing security and trust.
- Operational Efficiency: Optimizes various operational processes through data-driven insights, improving overall efficiency and productivity.
Experience the Power of Choice with Trilliant’s Analytics as a Service
Optimize your data usage, enhance decision-making, and improve operational efficiency with our cutting-edge analytics platform.
Press Release
Trilliant Announces Analytics as a Service, Enabling Utilities to Improve Data Analysis and Forecasting
Acting as a data scientist for utilities worldwide, Analytics as a Service supports their ability to fully leverage collected data — saving time, reducing energy losses and protecting their revenue Read More
Brochure
Trilliant Non-Technical Loss Analytics
Non-Technical Loss (NTL) – primarily due to energy fraud, theft, or misconfigured/malfunctioning meters – is a critical and growing challenge for electricity distribution utilities Download Now
Press Release
Trilliant Completes Eight Customer Deployments of Prime Energy Suite to Help Utilities Improve Demand Response and Power Loss Detection
New meter drivers added to its 300+-meter strong data collection engine in 2023, making Trilliant the market’s premier device-independent platform for utilities in enabling Power of Choice Read More