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