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amashadihossein draft #2

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be67cd7
Added to business justification from Efficiency and Talent perspective
amashadihossein Sep 11, 2025
df57210
Added additional business justification
amashadihossein Sep 11, 2025
928f49c
added some end user justification
amashadihossein Sep 11, 2025
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15 changes: 14 additions & 1 deletion roi_wp.html
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>

<meta charset="utf-8">
<meta name="generator" content="quarto-1.5.55">
<meta name="generator" content="quarto-1.5.56">

<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">

Expand Down Expand Up @@ -96,6 +96,11 @@ <h2 class="anchored" data-anchor-id="end-user-perspective">End-user perspective<
<p>We could further split this into personas?</p>
<p>Keeping it general for now:</p>
<ul>
<li>Skill portability
<ul>
<li>Globally, academic training is overwhelmingly in open-source</li>
<li>Outside pharma, open-source is dominant in data science and analytics</li>
</ul></li>
<li>develop transferable skills
<ul>
<li>usage of industry-wide tools and languages such a git, R</li>
Expand All @@ -114,6 +119,9 @@ <h2 class="anchored" data-anchor-id="business-perspective">Business perspective<
<ul>
<li>reduced single-use code</li>
<li>shared development and shared maintenance (we could use some of James’ material here on commits, issues)</li>
<li>Cross-functional synergy: using the same stack of tools across biometric and other computational functions (e.g.&nbsp;data science, real-world evidence) eases knowledge transfer and adds speed across R&amp;D development cycle.</li>
<li>Increased agility through DevOps integration: Open source is better integrated with modern DevOps tools and practices. Access to key tools are often integrated into packages for R and Python.</li>
<li>Reduced infrastructure costs: not only there is no licensing fees for R and Python, but there is better economics in how they integrate with diversity of modern tools such as data and compute resources, where SDKs are often most mature for open source languages. Cheaper, better tools faster.</li>
</ul></li>
<li>Quality
<ul>
Expand All @@ -124,11 +132,16 @@ <h2 class="anchored" data-anchor-id="business-perspective">Business perspective<
<ul>
<li>minimise upskilling as tools are shared across companies</li>
<li>mechanism for knowledge transfer</li>
<li>Deeper pull of talent: open source skills are more common in the workforce, making it easier to hire and retain talent.</li>
</ul></li>
<li>Transparency
<ul>
<li>tools are developed and evolve in the public domain</li>
</ul></li>
<li>Future Risk Mitigation
<ul>
<li>Accelerating industry momentum toward open-source could suddenly expose organizations to legacy tool limitations and shrinking talent pools—risks that gradual, planned adoption mitigates.</li>
</ul></li>
</ul>
</section>
</section>
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12 changes: 12 additions & 0 deletions roi_wp.qmd
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Expand Up @@ -21,6 +21,9 @@ We could further split this into personas?

Keeping it general for now:

- Skill portability
- Globally, academic training is overwhelmingly in open-source
- Outside pharma, open-source is dominant in data science and analytics
- develop transferable skills
- usage of industry-wide tools and languages such a git, R
- adopt to modern ways of working (agile, best practices)
Expand All @@ -33,6 +36,10 @@ Keeping it general for now:
- Efficiency
- reduced single-use code
- shared development and shared maintenance (we could use some of James' material here on commits, issues)
- Cross-functional synergy: using the same stack of tools across biometric and other computational functions (e.g. data science, real-world evidence) eases knowledge transfer and adds speed across R&D development cycle.
- Increased agility through DevOps integration: Open source is better integrated with modern DevOps tools and practices. Access to key tools are often integrated into
packages for R and Python.
- Reduced infrastructure costs: not only there is no licensing fees for R and Python, but there is better economics in how they integrate with diversity of modern tools such as data and compute resources, where SDKs are often most mature for open source languages. Cheaper, better tools faster.

- Quality
- crowdsourced testing and issue tracking
Expand All @@ -41,8 +48,13 @@ Keeping it general for now:
- Talent
- minimise upskilling as tools are shared across companies
- mechanism for knowledge transfer
- Deeper pull of talent: open source skills are more common in the workforce, making it easier to hire and retain talent.

- Transparency
- tools are developed and evolve in the public domain

- Future Risk Mitigation
- Accelerating industry momentum toward open-source could suddenly expose organizations to legacy tool limitations and shrinking talent pools—risks that gradual, planned adoption mitigates.



2 changes: 1 addition & 1 deletion roi_wp_files/libs/bootstrap/bootstrap.min.css
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