Driving more revenue with IoT Data Analytics

Turn data into insights and make better decisions

• **Anomaly detection: **Find and address issues that require immediate attention before they become a problem.
• **Forecasting: **Plan and optimize operations with insights into future events and system behavior.
• **Predictive maintenance: **Identify when a machine is likely to fail, and take preventive measures to avoid downtime
• **AI Assistant: **Chat with your data to get instant, AI-driven insights.

Predict failures and forecast utilization For better decision making, resource planning and reducing cost business requires answers to 3 main questions: What will happen, When, and Why?

Define KPI using calculated fields Calculated fields are one of the most powerful features for KPI monitoring and prediction. Based on the input data, calculated fields allow you to run statistical functions and create new data items by applying calculations.

Detection Anomalies Detect anomalies with automated tools based on built-in machine learning algorithms. Prioritise them and focus on real problems with anomaly scoring.

Features

• Real-Time Analytics: Provides real-time data analysis for immediate insights.
• Custom Dashboards: Allows creation of personalized dashboards to visualize key metrics.
• Predictive Analytics: Utilizes machine learning to forecast future trends and anomalies.
• Data Integration: Seamlessly integrates with various data sources for comprehensive analysis.
• User-Friendly Interface: Offers an intuitive interface for easy navigation and data exploration.