IoT analytics

                See, analyze and act—while it still matters—to improve efficiencies and delight customers

                Act on IoT insights in an instant 

Empower people—such as operations managers—to turn IoT data into actionable insights using a self-service IoT analytics platform. Understand, predict and act on the powerful insights revealed in your IoT data using integrated real-time streaming and predictive analytics capabilities. Imagine what you can do with a holistic view of your IoT data with IoT analytics tools from Software AG.

                Get faster ROI with self-service IoT analytics

Analyze your data using a straightforward drag-and-drop UI based on the concept of reusing flexible building blocks. Analytics on real-time data can be that simple! Business users and operational experts can build sophisticated analytics on their own without writing code or needing IT support. Developers also have a powerful coding environment to create and deploy advanced analytics apps in the cloud, at the edge and as a stand-alone IoT analytics solution. Build analytics for a wide range of use cases, from alarms analytics to condition monitoring to prediction of failure, maintenance and utilization.

                    Analyze & act on data in real time

Put a world-proven 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, even using edge streaming analytics. Thanks to 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 

Our IoT analytics platform has 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.

                    Get 339% ROI from IoT in 3 years

What if you could get these benefits from an IoT platform? 339% ROI and $8.1 million in business benefits in three years and payback in less than one year. A commissioned Forrester Consulting Total Economic Impact™ study showed these outcomes from the Cumulocity IoT platform

                    When Machine talk, they share insights that matter.

Leverage Cumulocity IoT’s Streaming Analytics capabilities and facilitate the discovery of insights to further differentiate your products and services, and set yourself apart from the competition.

                    Cumulocity IoT Streaming Analytics

Get a hands-on intro to streaming analytics rules for Cumulocity IoT using Apama. Learn best practices for streaming use cases, create analytics models and learn how to extend reusable analytics blocks. Come away with your first rules and custom analytics blocks in place – and the confidence to identify use cases that benefit from streaming analytics.