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
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.
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 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
Experiencing exponential growth in business, the VAASAN Group couldn’t accurately forecast fluctuating sales orders across the Nordic region.
The VAASAN Group now uses a powerful business intelligence solution that identifies trends in customer demand and generates a rolling sales forecast,
Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and