The 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Many companies in the insurance space rely on irreproducible, proprietary, and costly BI tools or outdated spreadsheets to generate insights.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 and Python 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 to empower your decision makers.
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.
Answered by Hadrien Dykiel of RStudio's Customer Success team
"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
"Ultimately, our core competency is insurance, not software. RStudio Connect allows us to focus on our core business while also enabling us in our business itself."
Director of Data Science, Energetic Insurance
Topics we help our insurance customers with:
Validation, Reproducible workflows, FDA Compliance, using R & Python together.