Insurance is a data-driven business. RStudio's INSURANCE TEAM can help your organization solve the industry’s most difficult challenges.
Talk to the RStudio Insurance Team Talk to the RStudio Insurance TeamThe insurance space is ultra-competitive. Lots of companies turn to data science and analytics to gain a competitive advantage, but few see the return on investment they expected.
Leverage open-source coding languages such as R and Python.
Many companies in the insurance space rely on irreproducible, proprietary, and costly BI tools or outdated workbooks to generate insights. Code is more flexible, agile, and repeatable, leading to a long term analytical advantage.
Unfortunately, most companies don’t know how to navigate the security landscape when turning to open-source, code-based analytics, such as customer data breaches and other 3rd party attacks.
Combine the power of open-source coding languages with an enterprise-ready, world-class toolchain.
The best actuaries and data scientists in the insurance space use a toolchain that integrates seamlessly with existing authentication frameworks. This toolchain meets IT security standards, such as centralized development environments, while enabling access for data scientists to powerful R packages and statistical tools.
The transition to production for models and dashboards is often riddled with problems, resulting in expensive delays on pricing, claims, and reserving projects.
Share results frequently, effectively, and easily
Easily turn your R or Python code and model APIs into decision-driving insights. Then securely deploy dashboards, interactive applications, and automated reports either at the push of a button OR in a custom deployment workflows.
"RStudio gives our individual data scientists access to highly productive tools in a commercially supported, scalable server environment that complies with our security and IT manageability needs.”
- Mike Maloney, ETS Customer Portfolio Manager, Liberty Mutual
Topics we help our insurance customers with:
Validation, Reproducible workflows, FDA Compliance, using R & Python together.