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2022-04-05DataRegulations

Improved UDI Data Integrity with Single-Source-of-Truth

Case study on Improved UDI Data Integrity with Single-Source-of-Truth.

Enabling Rapid Growth with Single-Source Truth

Learn how USDM worked with a global manufacturer of biotech, pharma, medical device consumer products to revamp their data management processes to enable rapid growth by creating a single-source-of truth. Data is your most significant IP, and you must have a future-proof strategy in place with the ever-changing regulatory landscape.

The Situation
  • Global manufacturer of biotech, pharma, med-dev consumer products, and supplements
  • Inability to provide timely product master data was a significant threat to commercial operations
  • >3,000% exponential growth in product data points from future UDI regulatory and customer requirements expected
  • 300k products + 100k new products annually times 60+ systems = billions of data points to be managed with no central single-source-of-truth
  • Multiple siloed, inconsistent data repositories
  • Processes and systems could not scale for growth
The Solution
  • USDM’s used a 4-step process to address global UDI need: 1) Assessment, 2) Roadmap, 3) Select & Acquire, 4) Build and Deploy
  • Collaborated with 20+ key stakeholders to inventory expected data attributes and data point needs over a 15-year time horizon
  • Partnered with IT to develop a scalable data model to capture, organize, and model the attributes, then ran simulations to verify the design
  • Developed roadmap to rollout data model, outlining the risk-based, phased approach
  • The new data model was implemented in existing system, and confirmed to be capable of managing the global needs, thus becoming the single-source-of-truth for all product master data
  • Gathered/loaded several million new data points to meet current regulations and customer needs
  • Decommissioned several systems

The Results

  • Single-Source-of-Truth realized to protect data integrity​
  • Achieved Scale to support billions of data points and future growth​
  • $500k Saved annually from IT system optimization

Start here

Put AI to work in life sciences — with the right guardrails underneath.

Start with a structured AI Readiness Assessment: fixed-fee, executive-ready, and built to surface the highest-value workflows first.

  • Workflow inventory and risk classification
  • Business value and readiness scoring
  • FDA CSA + EU AI Act + ISO 42001 gap analysis
  • Prioritized 90-day roadmap by impact, risk, and effort

Start here

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