Predictive analytics has helped industries and organizations of all sizes gain competitive advantage. Further evidence of this significant trend can found in an executive summary from Ventana Research.
Customer churn and fraudulent claims in today’s insurance industry can translate to losses for providers. Insurance organizations can stay one step ahead by deploying predictive analytics to determine future outcomes.
The ability to predict what might happen is no longer enough. Organizations also need to know how to respond to the predictive insights they glean from data analysis. Discover how predictive analytics and decision optimization can work together to create a powerful, comprehensive decision
Time and location-based intelligence can reveal hidden insights about your business, customers or constituents. Learn how organizations can benefit from geospatial analytics and how IBM SPSS Modeler augments predictive modeling by integrating elements of time and space into analyses.
Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
In its evaluation, Forrester Research said, "IBM assembles an impressive set of capabilities, putting predictive at the center. No matter how an organization wants to get started with predictive analytics, IBM has an option for them. The solution offers one of the most comprehensive set of
IBM Predictive Maintenance and Quality offers a pre-configured solution with data management and analytic capabilities that help you realize these benefits. Technological advances in monitoring sensors and device communication, along with IBM enhancements in data management, data integration and
In October 2014, Forrester Consulting worked with IBM on a commissioned study to analyze the total economic impact that IBM’s Information Management solutions have on three specific big data use cases to help its customers solve important business problems.
Through interviews and data aggregation
This white paper evaluates performance capabilities of leading-edge business intelligence (BI) platforms.
The research makes a comparison study of IBM Cognos BI and IBM DB2 with BLU Acceleration on IBM Power Systems, SAP BusinessObjects and HANA, Oracle Business Intelligence and Exadata, and
Database managers are looking for a solution that capitalizes on the performance advantages of in-memory data storage, placing the highest value data in main server memory where it can be quickly accessed and processed. At the same time, you do not want your database solution to be limited to main
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it, not to mention excellent qualities of service.
Carl Olofson, an IDC analyst, looks at the role of the mainframe in relation to big data, how it has become a hub for modern day
While the issue of provisioning ever-increasing volumes of storage is nothing new, the arrival of big data is forcing IT organizations and businesses to think differently—and to think about data as a big picture, rather than simply bits and bytes.
In this paper, Mark Peters of ESG discusses how the