Act on IoT insights in an instant
Meet our IoT analytics products
Get faster ROI with self-service IoT analytics
Analyze & act on data in real time
Put the world’s #1 streaming analytics engine to work for your business. Apply analytics to large volumes of fast-moving data. Look for patterns and process incoming data in real time. Identify problems and respond immediately via alarms and notifications. Using a drag-and-drop, no-code environment, anyone can design advanced rules to monitor and act on any number of event streams and high-velocity event data of any kind—without the help of IT. Streaming analytics is ideal for condition monitoring in real time as well as more complex pattern matching and analysis.
Predict & prevent problems
Act precisely and so quickly that no one even noticed there was an issue. Use AI, deep learning, machine learning and predictive analytics to predict when a problem is likely to occur. Leverage machine learning models to score device data to understand areas to investigate. Operationalize AI and other advanced IoT data analytics models without the time and cost of expensive custom coding. Machine learning is ideal for anomaly detection and predictive maintenance.
Make decisions on the shop floor
Make front-line operators self-sufficient. Empower process engineers, plant managers and non-data scientists to optimize operations anytime, using self-service industrial analytics. No data science expertise required to find out what’s causing production bottlenecks or quality issues or how to increase overall equipment effectiveness.
Learn from past experience
Store data in a cost-efficient way for archival, analytical and machine learning model training purposes. Schedule offloads of operational data to local stores, a local-based file or a cloud-based data lake of your choice. Then access this data directly for deeper analysis and machine learning using your preferred business intelligence and machine learning tools. Scale up processing as data volumes grow.
Take intelligence to the edge
Extend advanced analytics and machine learning to devices, wherever they are, to make the most of the data they generate. Edge analytics—close to or on equipment—collects and processes data without having to send that data back to the cloud for analysis. Make time-critical decisions when it matters most. Reduce network bandwidth as well as load on back-end servers to lower costs.
View & share IoT data in real time
Use business intelligence and visual IoT data analytics to view and share your IoT data and performance in real time. Anyone can log onto dashboards to get a complete and up-to-date view of the current state of their processes and devices. Take stock of important KPIs, detect patterns in high-volume data, and see where to act when it matters most.
Advanced tooling for data experts
We’ve got technology experts covered too with a full analytics development environment when you need to build something uniquely complex. Create advanced analytics apps and deploy in the cloud, at the edge or as a stand-alone solution.
