Reduce risk and fraud and increase customer engagement
Insurance companies have the opportunity to revolutionize marketing, underwriting, and claims processes with data science. Better-informed decision making, automation, and scoring can empower insurance providers to accurately assess risk, price policies optimally, prevent fraud, and keep customer satisfied and loyal. This may seem harder than ever to accomplish, with so many uncertainties in the world and so much competition in the industry. But data science helps providers keep their business ahead of these challenges.
Increase underwriting efficiency
Automate your underwriting processes and price policies optimally with dedicated and efficient scoring models.
Identify and prevent fraudulent claims
Tag potentially fraudulent and unwarranted claims or policy applications and secure your money for legitimate claimants.
Save accounts before cancellation
Predict account cancellation and churn, and prevent it from happening – especially in the early days before a policy has become profitable.
Understand the value of your customers
Analyze long-term policy potential and behavior to understand the value of each customer and ensure each is treated commensurate with that potential.
Help customers with their next step
Understand and anticipate life situations of your customers and always provide the best offer to boost your customer relationships.
Lightning Fast Data Science
RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner’s lightning fast visual workflow designer and automated modeling capabilities. More than 350,000 data scientists in over 150 countries use RapidMiner products to drive revenue, reduce costs, and avoid risks.
