Migrated to a centrally managed and compliant RStudio – Posit environment on AWS
Company Information
A leading pharmaceutical company sought to enhance its data science capabilities by migrating to a more robust, compliant, and centrally managed analytics environment. The objective was to streamline the data science process, from package management and data analysis to reporting, leveraging the RStudio – Posit Team suite on AWS. ProCogia was tasked with overseeing the migration, provisioning the new environment, and upskilling the biostatistics team to maximize the benefits of the new tools and workflows.
The Challenge
The pharmaceutical company faced several challenges with its existing data science workflow, including fragmented tools, inconsistent coding practices, and barriers to efficient development and collaboration. These challenges hindered the team’s ability to generate and share insights effectively, impacting decision-making and project timelines. A cohesive, compliant, and scalable solution was needed to address these issues and support the company’s ambitious data science goals.
Procogia’s Approach
Our first step was to understand the existing workflow and projected business requirements of the pharmaceutical organization.
We recommended RStudio – Posit Team, a suite of products that covers all stages of the R data science process from package management, to data analysis, and reporting.
Following the provisioning and deployment of the RStudio – Posit environment, ProCogia provided extensive training to the biostatistics team. This ranged from onboarding training, to workshops on R and data science best practices.
ProCogia collaborated on Shiny apps with both offshore and nearshore teams. Key value-adds included model improvement, code integration and optimization.
The Results
ProCogia provided immediate value across a spectrum from R coding, software development, workflow optimization, technical documentation, increased R usage, and inter-team collaboration.
Our work also reduced barriers to development, resulting in more insights being reported efficiently and consumed by all stakeholders.
Services Used
Data Consultancy
We provide data consultancy to organizations to optimize your investment in people, processes, and technology. This is typically through data strategy engagements, roadmaps, transformations, and independent technology advice.
Data Operations (DataOps)
We build robust, scalable, and enterprising data environments that enhance the collaboration between data science teams.
Cloud Data Engineering
We partner with all major cloud providers, allowing us to adopt a data-agnostic approach focused on delivering tailored game-changing solutions.
Conclusion
ProCogia’s successful migration of the pharmaceutical company to a compliant and centrally managed RStudio – Posit environment on AWS represents a transformative advancement in the company’s data science and analytics capabilities. Through strategic planning, training, and collaboration, ProCogia not only streamlined the company’s data science workflow but also empowered its team to achieve higher productivity and collaboration. This case study exemplifies ProCogia’s ability to navigate complex data science challenges, delivering solutions that foster innovation, efficiency, and strategic growth.
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