Posit

Posit

Posit helps insurance organizations turn data into smarter decisions. By combining the power of open-source tools like R and Python with enterprise-grade security and governance, Posit enables teams to innovate faster while staying compliant and efficient.

Insurers use Posit to connect data, automate workflows, and share insights across Actuarial, Underwriting, and Claims—breaking down silos and improving collaboration. With seamless integration into modern data ecosystems, Posit makes it easy to build, deploy, and scale reliable analytics that drive real business impact.

Posit Connect

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Share dynamic data insights and applications, then update easily when needed.

Posit Connect helps insurance organizations transform complex data science work into practical, accessible insights. It bridges the gap between advanced analytics and everyday operations, ensuring that models, dashboards, and reports are secure, up-to-date, and easily shared across teams like Actuarial, Underwriting, and Claims.
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Key Capabilities:
  • Dynamic Insights: Share interactive dashboards and web applications built in Python or R, enabling teams—from Pricing Analysts to Claims Adjusters—to explore data and insights intuitively.
  • Automation & Scheduling: Automate routine reporting and model updates to save time and ensure decisions are always based on the latest data.
  • Security & Control: Manage access, enforce governance, and protect proprietary models and analyses within a secure, centralized environment.

Posit Package Manager

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Distribute and manage secure, scalable package repositories for Python and R.

Posit Package Manager helps insurance organizations build and maintain secure, scalable, and reproducible data science environments. It ensures that models used for pricing, risk assessment, and claims processing remain stable, auditable, and compliant over time.
It acts as a central, reliable source for managing both internal and external packages in Python and R, giving teams the confidence to work consistently and securely.

 

Key Capabilities:
  • Ensuring Reproducibility: Use date-based snapshots of repositories like CRAN and PyPI to lock in exact package versions, ensuring that projects can be recreated accurately—crucial for Actuaries during audits or validations.
  • Secure Collaboration: Share custom-built R or Python packages across teams—such as those for pricing analysis or fraud detection—to encourage consistency and reduce duplicated work.
  • Access & Dependency Control: Manage permissions, enforce governance, and ensure only approved, validated packages are used in production environments, enhancing both security and compliance.

Posit Workbench

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Maintain control with centralized management for RStudio, Jupyter, and VS Code environments.

Posit Workbench provides insurance organizations with a powerful, secure, and flexible environment for data science and analytics. It enables teams to develop, test, and deploy models efficiently using their preferred open-source tools, including R, Python, and VS Code—all within a governed enterprise framework.
With centralized access and built-in collaboration tools, Workbench helps Actuarial, Underwriting, and Claims teams work more effectively, reduce technical friction, and accelerate the delivery of analytical insights.
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Key Capabilities:
  • Unified Data Science Environment: Combine R, Python, and other tools in a single workspace, giving data professionals the freedom to use their preferred languages and workflows.
  • Scalability & Performance: Seamlessly scale from local to enterprise computing resources, supporting everything from model prototyping to production workloads.
  • Collaboration & Governance: Centralize work in a secure, managed platform where teams can collaborate efficiently, maintain version control, and ensure compliance with organizational policies.

Success Stories & Insights

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