Big Data Predictive Analytics Solutions
Deliver Insights from big data in real-time
Customers are increasingly facing the challenge of implementing more intelligent real-time decisions within the context of big data. Business insights are critical for making intelligent business decisions, and these insights often lie buried in massive volumes of fast-changing and increasingly varied data. Predictive analytics based on statistical algorithms and machine learning can reveal these insights.
Once an organization’s data science team has developed predictive models, the team must then collaborate with the internal IT organization to deploy those models so that business users can incorporate predictive analytics into their decision making. For a data-driven enterprise, the agile deployment, integration and execution of predictive models has become an essential strategic capability.
Zementis and SAP have partnered to deliver this capability to enterprises and enable consistent, accurate predictive analytics as an operational capability, at scale. Our joint solution combines Zementis ADAPA, a scoring engine for predictive analytics, with SAP HANA, the premier platform for in-memory computing.
As a joint solution, ADAPA for SAP HANA represents a universal platform for the operational deployment and execution of predictive analytics. It delivers:
- Real-time scoring through HANA
- Superior performance via super-fast in-memory processing
- High scalability, to support dynamic computing requirements associated with real-time big data
- Inherent flexibility to support complex computations irrespective of predictive model type or data volume
With ADAPA for SAP HANA, organizations become agile consumers of big data for predictive analytics. Zementis and SAP have removed the complexity of this critical business capability, freeing organizations to focus on developing the best possible predictive models and using those models to make the most intelligent business decisions.