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 self-service IoT analytics. 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 from Software AG.

                Mine IoT data for meaningful insights
            

Optimize your processes in real time, schedule repairs before something breaks, make instant offers to customers based on real-time behavior. The possibilities are endless.

                Avoid costly downtime
            

Respond instantly using the industry’s leading streaming analytics engine and predictive modeling to spot anomalies and eliminate issues on the production line.

                Make analytics for everyone
            

Simply “point and click” to apply advanced data science techniques. Get insights easily via a friendly UI console that's designed for operational managers, not just technologists.

                Analyze data as it happens
            

Identify patterns, filter and aggregate data, acting the moment it matters with further analysis, alerts and notifications.

                Fine-tune your processes
            

Learn from the past and discover trends by combining historical with real-time IoT analytics to make smarter decisions.  

                Leverage machine learning models
            

Create, train and execute machine learning models for predictive maintenance, anomaly detection and demand forecasting.

                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 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 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.

                    Act on your data with a leader
                

See how the vendors compare in The Forrester Wave™: Streaming Analytics, Q3 2019.

                    See, decide & act with Software AG
                

Build an IoT solution in 90 days or faster