Blog
Why 70% of life sciences data initiatives stall at year two
The root cause is rarely the data platform. It's the absence of operational stewardship behind it.
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Life Sciences
Accelerate your path to trusted data.
Operational profitability and minimized compliance risk are the same conversation. We build the governance fabric that connects R&D, commercial, and quality so decisions move faster — and hold up under audit.
01Steward
02Process
03Quality
04Architecture
05Culture
The Framework
Five pillars. One operating model.
Hover or tap a pillar to see how it shows up in a real life sciences program.
Pillar 01
Codify data ownership across business, IT, and compliance — every dataset has a named steward, an accountable owner, and an escalation path that holds under audit.
01
Embedded roles & responsibilities
Codify data ownership across business, IT, and compliance — every dataset has a named steward, an accountable owner, and an escalation path that holds under audit.
02
Defined processes & workflows
Repeatable, instrumented workflows for issue intake, resolution, exception handling, and change control — so governance is operational, not aspirational.
03
High quality data
Measurable quality dimensions — completeness, conformity, lineage, timeliness — monitored continuously against business-defined thresholds.
04
Synchronized architecture
A unified semantic layer linking source systems, MDM, and analytics — so a ‘product,’ ‘site,’ or ‘investigator’ means the same thing everywhere.
05
DG&S-enabled culture
Training, incentives, and executive sponsorship that make stewardship a default behavior across R&D, commercial, and supply chain.
Our Difference
Two engagement models. One outcome.
Data Governance Consulting
We partner with your leadership to design the governance operating model: decision rights, accountability, policies, and the business rules that translate strategy into enforceable controls. Engagements are structured around measurable 30/60/90-day outcomes — not deliverables that sit on a shelf.
Managed Data Stewardship
An outsourced stewardship pod that operates inside your workflows — running the exception queue, resolving MDM issues, monitoring quality KPIs, and reporting to your governance council. You retain ownership; we operate the engine and scale capacity up or down with your portfolio.
Latest Thinking
Insights, research, and on-demand sessions.
Webinar
Building an audit-ready governance model in 90 days
A working session with two enterprise CDOs on charter, controls, and telemetry sequencing.
Case Study
How a top-10 pharma cut MDM exception backlog by 64%
Embedded stewards, a one-page charter, and a live exception queue with SLA.
Read NowVideo
The 5 pillars in 6 minutes
A short walkthrough of the operating model that anchors every engagement.
Whitepaper
GxP, GDPR, and 21 CFR Part 11: a unified control map
Build the control once. Map it many times. Audit it forever.
Read NowOn-Demand
Managed stewardship: when to insource vs. outsource
A decision framework for life sciences leaders weighing capacity, talent, and risk.