Sunday, 28 June 2015 21:50

Software AG integrates analytics solutions to digital platform

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Software AG integrates analytics solutions to digital platform Image courtesy of Stuart Miles, freedigitalphotos.net/images

Software AG has embedded pre-built high-performance, Big Data Predictive Analytics solutions to its digital business platform which it says makes it easier and faster for enterprises across industries like retail, manufacturing, financial services, telecommunications, utilities, and hospitality to expose, anticipate, and act on critical business insights.

Wolfram Jost, chief technology officer, Software AG says Zementis ADAPA (Adaptive Decision and Predictive Analytics) has been embedded into the Apama Streaming Analytics platform to offer enterprises a comprehensive ‘one stop shop’ for business insight and analytics.

Jost says Zementis ADAPA is an extremely fast, standards-based deployment platform and scoring engine for predictive analytics, and uses algorithms that discover patterns in Big Data that might predict similar outcomes in the future.

“The ability to predict what is likely to happen next is essential to satisfying customers, improving operations, and beating the competition.

“Predictive analytics uses patterns found in historical and real-time data to indicate what is ahead. The addition of predictive analytics enhances the capabilities of our Digital Business Platform and enables enterprises to identify and act on future risks and opportunities in terms of revenue, resources, output and more.”

According to Jost, unique to Zementis ADAPA is its PMML (Predictive Model Markup Language) deployment and run-time engine and he says that due to the rich support for this emerging data mining industry standard, predictive models created with all leading commercial and open source data mining tools can be utilised for real-time scoring.

Michael Zeller, chief executive officer, Zementis says the demand for predictive analytics is exploding. “The reality is that businesses employing predictive analytics will be in a better position to support their customers than those without predictive analytics. It’s a tremendous competitive edge.”

“Too many companies struggle with how to translate their Big Data into actionable insight. By adopting high-performance, Big Data predictive analytics, businesses can leverage a treasure trove of information that enables them to optimise business performance or carve out a differentiating niche in an increasingly competitive landscape through programs such as personalisation marketing.”

According to Zeller, new technologies such as in-memory processing, streaming analytics, cloud computing, Internet of Things and Big Data, coupled with faster and cheaper computing platforms and sensors, are all contributing to making predictive analytics more easily attainable to help enterprises modernise their analytics capabilities.


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Peter Dinham

Peter Dinham - retired and is a "volunteer" writer for iTWire. He is a veteran journalist and corporate communications consultant. He has worked as a journalist in all forms of media – newspapers/magazines, radio, television, press agency and now, online – including with the Canberra Times, The Examiner (Tasmania), the ABC and AAP-Reuters. As a freelance journalist he also had articles published in Australian and overseas magazines. He worked in the corporate communications/public relations sector, in-house with an airline, and as a senior executive in Australia of the world’s largest communications consultancy, Burson-Marsteller. He also ran his own communications consultancy and was a co-founder in Australia of the global photographic agency, the Image Bank (now Getty Images).

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