Compared to other industries, banking is experiencing a lag in transforming to digitized commerce. See how banking institutions can use advanced analytics to adapt to an individual-centered economy in which consumers expect and demand a seamless banking experience.
The wealth management industry is evolving in the digital era to meet the needs of a rising retiree population serviced by technology savvy financial advisors. Take a look at three key market drivers that illustrate the urgency around transforming today's wealth management industry.
Retaining policyholders is an ever-present concern within the insurance industry. The IBM Behavior Based Customer Insight for Insurance Solution uses analytics to create strategies that can help insurers anticipate and reduce churn.
Traditional data approaches to understanding customers may provide valuable insight, but industry-specific predictive analytics can unearth patterns of behavior, key preferences and particular needs to gain a deeper understanding than ever for building strong relationships.
Net Promoter Scores often reveal levels of customer dissatisfaction with communications service providers. Discover two advanced analytics solutions from IBM that enable innovative analysis for keen insight into the customer experience.
Like any services industry, insurance companies achieve successful outcomes by building customer loyalty and trust. Advanced data and analytics help insurance companies develop retention by gaining key insight into policyholder behaviors, needs and preferences.
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.
Is matching the right life-event offers for products and services to prospective customers possible? Predictive industry analytics solutions can help those in the banking industry transform their businesses by targeting the right offers to the right people at the right times in their lives. Know
Operational insight offers understanding of asset performance and process productivity in the oil and gas industry. Producers who employ predictive analytics can move toward a maintenance strategy that is highly cost-effective and efficient.
Customer service in communications organizations is often based on archaic models. The time is ripe for a new model that applies predictive and real-time analytics to reveal hidden patterns in data, which in turn can be used to transform service calls into positive customer experiences.