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About Coadun

Harmonise your SCE with confidence.

Coadun is a transformation service for Open Source-Enabled Statistical Computing Environments (SCEs). We help organizations unify SAS, existing systems, and open-source technologies (R, Python, Posit) into a single, governed operating model that's scalable and suited to both GxP and non-GxP workflows.

  • Expert Delivery

    Delivered by experts from Achieve Intelligence and Jumping Rivers.

  • Open Source

    Tailored open source solutions without compromising compliance.

Challenges

The Challenges of Harmonising an SCE

Operational integrity cannot be compromised, but compliance should not be a barrier to innovation. Many organizations today face similar challenges and a widening gap between their existing infrastructure and evolving analytical requirements:

Demand

Growing demand for R and Python capabilities that existing systems cannot support.

Fragmentation

Inconsistencies from fragmented tools and siloed workflows across teams.

Validation

Difficulty reconciling traditional validation principles with R and Python packages.

Resistance

Navigating resistance from users who don't want or cannot imagine change.

Compliance

Uncertainty around adopting open source within regulated processes.

Expectations

Balancing stakeholder expectations across business, operations, and user requirements.

Automation

Manual and tedious processes that cannot be automated in the existing system.

Governance

Understanding organisational usage to determine which components to migrate, maintain, or retire.

Begin your SCE transformation today

Schedule an introductory session with our team to review your current infrastructure and outline a structured migration plan.

Book an Introductory Session

Our Process

Structured SCE Transformation

Delivered collaboratively by Achieve Intelligence and Jumping Rivers, Coadun provides a structured step-by-step delivery plan and execution support for the lifecycle of your enterprise analytics environment, shaped to your organisation's requirements.

01

Discover

We assess your current state to ensure the delivery plan is grounded in reality, developing a clear migration roadmap aligned to your governance model.

  • Evaluating existing processes to establish a risk-based validation strategy.
  • Identifying key stakeholders and conducting interviews to ensure business goals align with user needs.
  • Evaluating existing governance and organisational requirements against desired capabilities and outcomes.
  • Assessing current infrastructure to identify integration points alongside data flows.
02

Design

We design an implementation plan for your enterprise SCE solution that factors in the user needs captured during discovery, existing IT requirements, and organisational workflows.

  • Designing an environment where Python drives automation and metadata generation, R manages statistical analysis and reporting, and critical legacy processes are maintained in SAS or transformed.
  • Establishing technical specifications for connecting legacy systems with R/Python/Posit environments.
  • Reviewing existing workflows, SAS to R transitions, and the structured migration of current work.
03

Deploy

We deploy the SCE and bring the system live for pilot migrations, onboarding and system testing to ensure a robust, compliant environment.

  • Building and testing prototype environments within your infrastructure.
  • Establishing package governance and management for Python and R workflows.
  • Building on your existing Standard Operating Procedures (SOPs) and Work Instructions (WIs) to establish new validation processes and strategies.
  • Guiding user onboarding, essential upskilling, and workflow transitions.

Why Coadun

Overcoming Challenges Through Design

The team behind Coadun brings together enterprise architecture, compliance strategy, SAS expertise, and open-source engineering into one coordinated delivery model. We provide the comprehensive skillset that organisations often lack internally when undertaking significant migrations.

Intersection of SAS and Open-Source Expertise

The Challenge: Finding vendors that comprehend both legacy SAS requirements and the nuances of the modern open-source landscape.

The Coadun Approach: Teams and ways of working are harmonised under the new enterprise environment. Through the collaboration of Achieve Intelligence and Jumping Rivers, Coadun delivers both. We supplement internal knowledge gaps to guarantee a complete and robust migration, architecting a bridge between your existing systems and modern R/Python/Posit environments.

Harmonised Ecosystem

Compliance Built-in, Never Retrofitted

The Challenge: Uncertainty around adopting open source within highly regulated processes and maintaining end-to-end auditability.

The Coadun Approach: In regulated environments, open source must be stable and repeatable. We do not bolt compliance onto a finished platform. We implement a risk-based approach from day one that builds on your existing processes to streamline your transition to open-source.

Compliance by Design

Transforming Teams, Not Just Tech

The Challenge: Navigating cultural resistance to change and aligning divergent user expectations across the business.

The Coadun Approach: Infrastructure installation is not enterprise adoption. Enterprise architecture, compliance strategy, legacy migration, and user enablement are delivered as one accountable service. The true value of an SCE transformation is achieved when teams successfully adapt their workflows, not just the technology they use.

Transparent Transformation

More Than Infrastructure Installation

The Challenge: Balancing stakeholder expectations across business, operations, and technical constraints while retiring older tools.

The Coadun Approach: Infrastructure installation is not the same as enterprise adoption. We architect plans and solutions that integrate natively with your existing workflows rather than just delivering technology. A practical balance is found between competing business, technological, user, and validation requirements, paving the way for sustainable innovation.

Strategic Integration

Beyond Deployment

Go further with Coadun

Coadun is not a black-box platform; it is a structured service that delivers a harmonised, enterprise-grade analytics environment. Our approach is modular, allowing you to engage across the full lifecycle or select specific phases.

Delivering long-term support, incremental upgrades, and system updates.

Providing targeted upskilling and training for internal teams.

Developing, testing, and qualifying R or Python packages for GxP and non-GxP environments.

Managing the steady-state migration of legacy SAS code to R and Python at a sustainable pace.

Who is this for?

Coadun is designed for:

  • Pharma and life sciences organisations.
  • Regulated industries with strong governance and GxP requirements.
  • Mid-to-large enterprises with established SAS environments.
  • Organisations seeking enterprise-ready open source adoption.
  • Teams facing audit pressure, reproducibility gaps, or fragmented tooling.

Why Now?

  • The talent pool is shifting, with the majority of new analysts and engineers trained exclusively in open-source languages.
  • Enterprise SCE solutions have matured to support complex, multi-lingual cloud workflows.
  • R and Python provide advanced analytical capabilities, robust error management, and modern reporting frameworks (like Markdown and Shiny) that legacy systems struggle to replicate at scale.

Start with an Introductory Session

We offer a fixed-scope introductory session to help you start your organisation's SCE transformation. This session allows you to:

  • Meet our team of enterprise architects and compliance specialists.
  • Review the technical and cultural considerations of a multi-lingual migration.
  • Understand how an SCE transformation can address the existing risks and limitations of your current infrastructure.
  • See the new capabilities and efficiencies R and Python can offer your teams.
  • Address your specific concerns regarding open source governance and compliance.
  • Assess how Python automation and R reporting can run concurrently with your legacy SAS infrastructure.