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Healthcare & Life Sciences verified Verified Outcome TRL 9

Data Science Workbench for R&D

domain Client: A global biopharmaceutical company handshake Provider: Domino Data Lab schedule Deploy: 2023
85 Impact
Enterprise Ready
Evidence Score: B/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

Centralization of data science infrastructure to allow reproducible research and collaboration across thousands of scientists.

rate_review Analyst Verdict

"Low Risk. Centralized MLOps platforms are standardizing R&D. Key value is 'reproducibility'—essential for regulatory submissions."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Data scientists worked locally on laptops or fragmented servers. This led to 'it works on my machine' issues, inability to reproduce old experiments, and security risks with local data storage.

psychology The Solution

Implemented Domino Data Lab as the enterprise MLOps system of record. It provides a centralized environment for code, data, and compute, ensuring all experiments are tracked and reproducible.

settings_suggest Technical & Deployment Specs

Integrations
AWS / Kubernetes
Deployment Model
PaaS
Data Classification
IP / Research
Estimated TCO / ROI
Moderate
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Platform Lock-in Low Support for open source tools (R/Python)

trending_up Impact Trajectory

Audited value realization curve

Used by >1,000 data scientists Verified Outcome
Primary KPIReduced model deployment time significantly
Audit CycleEnsured reproducibility of research models

policy Compliance & Gov

  • Standards: GxP
  • Maturity (TRL): 9
  • Evidence Score: B/10
  • Data Class: IP / Research

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A global biopharmaceutical company without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-497
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-497

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