Software AG today added pre-built high-performance, big data predictive analytics solutions to its Digital Business Platform, helping enterprises across industries like retail, manufacturing, financial services, telecommunications, utilities, and hospitality to expose, anticipate, and act on critical business insights.
The Digital Business Platform and its newly added predictive analytics capability can support applications such as predictive maintenance, smart metering and manufacturing, supply chain optimisation, fraud detection, Internet of Things (IoT) and ‘connected customer’ marketing use cases.
“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," Wolfram Jost, CTO, Software AG said.
"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.”
Software AG has embedded Zementis ADAPA into the Apama Streaming Analytics platform to offer enterprises a ‘one stop shop’ for business insight and analytics. Zementis ADAPA, which stands for 'adaptive decision and predictive analytics', is a 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 Predictive Model Markup Language (PMML) deployment and runtime engine. Predictive models created with PMML can be used for real-time scoring.
Michael Zeller, CEO, Zementis, said: “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.”
The Digital Business Platform and its newly added predictive analytics capability can support applications such as predictive maintenance, smart metering and manufacturing, supply chain optimisation, fraud detection, Internet of Things (IoT) and ‘connected customer’ marketing use cases.
“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," Wolfram Jost, CTO, Software AG said.
"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.”
Software AG has embedded Zementis ADAPA into the Apama Streaming Analytics platform to offer enterprises a ‘one stop shop’ for business insight and analytics. Zementis ADAPA, which stands for 'adaptive decision and predictive analytics', is a 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 Predictive Model Markup Language (PMML) deployment and runtime engine. Predictive models created with PMML can be used for real-time scoring.
Michael Zeller, CEO, Zementis, said: “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.”
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