Software AG introduces analytics builder for IoT
April 4, 2019
At this week’s Hannover Messe, Software AG showed a preliminary version of its Apama analytics builder that it says can radically reduce the time it takes to design, develop and deploy analytics for IoT applications.
The analytics builder can give engineers and other domain experts working on the IoT edge a web-based capability to develop analytic applications on streamed data, test them with simulated or live data, and deploy them immediately with a single click for the real-time processing of machine data and events.
“The analytics builder delivers on our strategic vision for self-service analytics and removes the typical bottlenecks hindering the rapid development and deployment of streaming analytic applications,” said Stefan Sigg, chief product officer for the German company. “By allowing operators and domain experts to directly develop their own analytic applications we are taking a huge amount of pressure off the IT department and empowering decentralised teams to accelerate their delivery schedules. Also, bringing operational expertise directly to application development significantly reduces the risk of misunderstandings and enables operators to immediately address unexpected events and situations.”
The Apama analytics builder is a product of Software AG’s industry-led approach to IoT development. The market requirement was identified by Dürr, a member of the Adamos manufacturing industry joint venture consortium, developed by Software AG and Dürr, rolled out over the Adamos IoT platform and is already in production with end customers, all in fewer than 12 months.
“I can really feel the enthusiasm of the customers when we are presenting this product,” said Nico Koch, manager at Dürr. “With the analytics builder we will push forward the digitalisation on the shop floor tremendously. We have put extremely powerful analytical tools into the hands of those that understand the production process the best, opening a new era of streamlining and improvement.”
Apama has a graphical user interface for non-coders to take advantage of streaming analytics. It lets operators quickly build and deploy analytical models using a library of pre-built analytic blocks. With a drag-and-drop, free-form, web-based editor and the capability to manage deployment and simulation, real-time analytical applications can be developed when and where needed. Models can also be exported for use throughout an organisation.