The addition of high-performance, Big Data Predictive Analytics solutions to Software AG’s Digital Business Platform means industries like retail, manufacturing, financial services, telecommunications, utilities, and hospitality will find it much easier and faster to obtain the critical business insights which are the difference between success and failure in today’s highly competitive markets.
Wolfram Jost, chief technology officer, Software AG, said: “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.”
The Digital Business Platform and its newly-added predictive analytics capability can support numerous applications, including predictive maintenance, smart-metering and manufacturing. It can also underpin supply chain optimisation, fraud-detection and a number of Internet of Things and ‘connected customer’ marketing use cases.
This new one-stop-shop, which provides all the capabilities a business analyst or data scientist needs, has been made possible by embedding Zementis ADAPA (Adaptive Decision and Predictive Analytics) into the Apama Streaming Analytics platform. 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.
Michael Zeller, chief executive officer, Zementis, added: “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.”
Zeller continued: “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 programmes such as personalisation 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 – helping enterprises modernise their analytics capabilities.
Jost added: “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.”