Past events
i2e Consulting at the ACDM RBQM Symposium 2026
ACDM RBQM
Symposium 2026
4th Annual ACDM Symposium on Risk Based
Quality Management
November 9–10, 2026
Clayton Hotel Dublin Airport Central, Dublin, Ireland
4th Annual ACDM Symposium on Risk Based Quality Management
Many organizations have adopted RBQM but still struggle to produce consistent, trusted risk signals, often because their data is available but not usable. We help close that gap by harmonizing clinical data, standardizing how it is prepared and validated, and building Analysis-Ready Datasets that scale central monitoring across studies.
What if every study's risk signals came from data that was already analysis-ready, instead of data rebuilt study by study?
Early RBQM programmes often rely on study-specific data preparation and manually maintained workflows. They work for one study, but are hard to validate, standardise and scale, so risk signals vary from study
to study and decisions wait on manual effort. i2e helps organisations
treat data readiness as a shared, governed capability: harmonising
clinical data sources, standardising how data is transformed and vali dated, and giving the business clear ownership of what “analysis-ready” means. The result is more consistent risk signals and more proactive oversight across the portfolio.
The session also looked at how Analysis-Ready Datasets create the foundation for risk-based data management, a key focus of this year's symposium. If you missed it, you can read our abstract and continue the conversation with our team.
i2e presented From Data Availability to Data Usability:
Operationalizing RBQM with Analysis-Ready Datasets on November 10, 2026
View our abstract >
i2e Consulting helps pharmaceutical and biotech organizations connect the data, workflows and decisions behind clinical trial execution, bringing 15+ years of life sciences domain expertise to clinical data and RBQM, resource management, clinical supply and portfolio planning.
Datasets defined with business-led readiness criteria and maintained as long-lived operational assets, not one-off study deliverables.
Harmonized clinical data sources, standardized transformation frameworks and fit-for-purpose validation, on platforms such as Databricks.
Early decisions on data, validation and architecture, so organizations can scale risk-based data management and adopt automation and AI over time.
Speakers at the event
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