Cognizant® Multiomics Data Platform Assessment

Turbo-charge translational research with an AI-ready, GxP-aligned multimodal foundation on Microsoft. Our cross-functional team rapidly maps your sequencing pipelines, exposes hidden bottlenecks, and designs a future-proof lakehouse that unifies raw reads, LIMS, ELN, clinical trial data and public reference genomes—ready for petabyte-scale analytics and compliant with HIPAA, GxP and FAIR principles.

A Proven Framework for Clinical-Grade Genomic Modernization, we distill years of pharma & biotech experience into five fast-moving work-streams that de-risk cloud adoption while keeping science in the driver’s seat.

Stakeholder Alignment

• Engage R&D, Bioinformatics, IT, QA/RA and Data Science leads
• Capture high-value use cases (biomarker discovery, companion Dx, multi-omics AI)
• Current-State Analysis
• Inventory sequencing output, LIMS, ELN, EMR/RWD and public reference sets
• Review storage formats, APIs, pipelines, security posture and validation status

Microsoft Fabric Readiness Assessment

• Evaluate metadata quality, ontology usage, lineage & access controls
• Score cloud, compliance and data-governance maturity

Opportunity Identification

• Prioritize quick-win design patterns (e.g., LIMS + EMR + WGS for target validation)
• Map pain points to native Fabric capabilities (OneLake, Synapse, Real-Time Analytics, Azure AI)

Target-State Definition

• Draft reference architecture, landing zone and governance blueprint
• Produce phased migration & MVP roadmap with integrated DQ/IQ/OQ/PQ validation plan

Key Deliverables

• Stakeholder & Use-Case Summary
• Current-State Inventory and Gap Analysis
• Migration Readiness Scorecard
• Genomics Lakehouse Reference Architecture
• MVP & Phased Implementation Roadmap
• Validation & Compliance Checklist (GxP, HIPAA, GDPR)

What We Help With

• Genomic data ingestion & harmonization (FASTQ, BAM/CRAM, VCF, gVCF, OMOP)
• FAIR metadata, ontology mapping & lineage tracking
• Secure workspace set-up for collaborative AI/ML (SynapseML, Azure ML)
• Real-time analytics on instrument telemetry & QC metrics
• Change management, training and Centre-of-Excellence planning

Governance & Delivery Model

• Program governance, milestone tracking & risk management
• Agile, sprint-based execution with show-and-tell demos throughout the engagement
• Value-realization metrics (time-to-insight, pipeline cost, data-reuse index)

Why Click “Get It Now”?

• Accelerate variant calling, cohort building and ML model training on a single, governed lakehouse
• Eliminate data silos—harmonize ELN, LIMS and clinical data for end-to-end traceability
• Built-in compliance—full DQ/IQ/OQ/PQ package speeds validation and auditor sign-off
• Ready for AI—DirectLake access lets you spin up large-language-model pipelines without copying data

Ready to put petabyte-scale genomics to work for drug discovery?
Click “Get It Now” to schedule your Multimodal Data Platform Assessment and receive a bespoke roadmap tailored to your organization