Software AG Supercharges Digital Business Platform with Big Data Predictive Analytics

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SoftwareAG_logoSoftware AG (Frankfurt TecDAX: SOW) announced the addition of pre-built high-performance, Big Data Predictive Analytics solutions to its Digital Business Platform that make 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.

The ability to predict what is likely to happen next is essential to satisfying customers, improving operations, and beating the competition,” said Wolfram Jost, chief technology officer, Software AG. “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. Software AG has made a strong commitment to help enterprises drive real business value and critical insights across the full spectrum of analytics to give our customers a competitive edge. Our goal is always to put our customers’ needs first, and we believe that the Digital Business Platform achieves this. Moreover, we have recently partnered with Mosaic Data Science, who provide advanced analytics and data science support for our customers.”

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

Unique to Zementis ADAPA is its PMML (Predictive Model Markup Language) deployment and run-time engine. 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 utilized for real-time scoring.

The Digital Business Platform and its newly added predictive analytics capability can support numerous applications, including predictive maintenance, smart metering and manufacturing, supply chain optimization, fraud detection and a number of Internet of Things and ‘connected customer’ marketing use cases.

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,” noted Michael Zeller, Chief Executive Officer. “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 optimize business performance or carve out a differentiating niche in an increasingly competitive landscape through programs such as personalization marketing.”

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 modernize their analytics capabilities.


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