Does BI Backlog need access to our actual data?

No. BI Backlog analyzes metadata and usage information without requiring access to the underlying business data.

How long does a migration assessment take?

Assessment timelines vary based on the size and complexity of the BI environment, including the number of dashboards, reports, users, and data sources involved.

What does an assessment cost?

Assessment costs depend on the scope of the engagement, BI environment complexity, and migration requirements. KPI Partners provides pricing based on each organization’s needs.

The science is ready for AI. Is your data?

From discovery to commercial, your data sits in separate, often un-validated systems. Regulators demand traceability, AI demands clean and governed data, and patients can't wait for either. KPI Partners builds the validated, AI-ready foundation that moves therapies faster - and we've proven it with the industry's leaders.

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Pharmacovigilance GenAI Copilots Manufacturing & Supply Data Integrity GxP & 21 CFR Part 11 Lakehouse Modernization Enrollment Forecasting Clinical Trial Analytics Real-World Data Real-Time Personalization

Five things standing between you and trusted, AI-ready data

None of these are new. Each one becomes more expensive the moment AI moves from the roadmap to the budget - and the moment an auditor asks you to prove a number.

Fragmented Across the Value Chain

R&D, clinical, manufacturing, and commercial data sit in separate systems owned by separate functions. There is no single view from molecule to market.

| AI trained on inconsistent data inherits, and scales, the inconsistency.
Legacy ETL & Validated-System Lock-In

Critical pipelines trapped in legacy Informatica, on-prem ETL, and aging warehouses - and validated systems that teams are wary of touching for fear of disrupting compliance.

| No model runs on infrastructure your own teams can't safely change.
Data Integrity & Regulatory Pressure

GxP, 21 CFR Part 11, ALCOA+ data integrity, HIPAA, and pharmacovigilance all demand validated, traceable data. AI raises the bar again - regulators now expect lineage and explainability for model-driven decisions.

| Ungoverned data turns every AI use case into a compliance liability.
Slow, Costly Analytics Cycles

Clinical forecasting, commercial campaigns, and financial reporting run slowly and expensively when every analysis starts with weeks of data wrangling across disconnected sources.

| Speed-to-insight is speed-to-market - and to patients.
The Distance From Pilot to Production

Leadership wants AI in discovery, clinical operations, commercial, and medical and regulatory copilots. Without a clean, unified, governed foundation, these stay perpetual pilots.

| The gap between a demo and an operating capability is the data layer.

Unify R&D, clinical, manufacturing, and commercial data on a modern Lakehouse, migrating off legacy ETL and on-prem warehouses without disrupting validated processes.