As the information age matures, data has become the most powerful resource enterprises have at their disposal. Learn how to leverage a trusted analytics foundation to achieve all your insight-driven goals.
Do you find yourself increasingly having to make decisions amid uncertain conditions? The advanced capabilities offered by IBM SPSS Statistics aim to make Monte Carlo simulation a part of your risk analysis by bringing these two worlds together in a single software solution.
Spreadsheets are excellent tools as far as they go—but how far can they truly go? If you’re pushing your spreadsheet-based solutions beyond their viable limits, then they might be doing more harm than good. Discover what considerations you shouldn’t ignore when using spreadsheets for statistical
Data analytics is no longer an either/or choice. With the integration of IBM SPSS Statistics and R, you can bring together the statistical analysis and data management capabilities that have helped so many data scientists gain insight after insight from their data.
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation 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
TEOCO’s assurance and analytics solutions, powered by IBM PureData System for Analytics, powered by Netezza technology, enable CSPs to access and analyze massive amounts of data to uncover the source of cost and network issues.
Santam wanted to find a way to improve its service to customers by settling claims faster and keeping premiums low.
To achieve this, the company needed to maximize operational efficiency and find smarter ways to combat fraud.
Santam worked with Olrac SPSolutions, an IBM Business Partner, to design
Senior leaders at Westfield Insurance realized that future success depended on gaining a better understanding of the performance of its business and its network of agents. However, driving a more analytical approach to decision-making would require not only new technology, but also significant