Data Engineering
Unearth the true value of your data
Data, on its own, has no meaning. When engineered, it answers all your business questions.
Data engineering framework
Build a robust data strategy with a sound governance framework as the backbone of your enterprise data management platform. Ingest, integrate, and process data to build harmonized data models to answer all your business questions and enable actionable insights across the data ecosystem.
Data advisory
Develop an enterprise-wide integrated roadmap involving a business-focused view to increase effectiveness and align with long-term goals:
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Enterprise Information Management (EIM) strategy and roadmap
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Data strategy
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Data infrastructure evaluation
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Data governance framework
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Data security and compliance strategy
Data Enablement
Enabling trust-worthy analytics-ready data for optimized business decision-making, powered by Axtria DataMAxTM:
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Data ingestion and onboarding
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Data catalog and lineage
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Data quality and standardization
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Data aggregation
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Data modeling
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Data Orchestration
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Data integration
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Data migration and archival
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Data processing
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Metadata management
Axtria DataMAxTM-driven solutions have delivered proven value to life sciences organizations
A quick glimpse of what Axtria DataMAxTM can do:
Cycle time reduction
Up to 80% reduction in ingestion to insight cycle time
High user adaption
Increase in user engagement (data scientists, data stewards, analysts vs. legacy systems)
Data quality
Improvement in data quality across all layers
Business rule changes
Up to 85% reduction in changes due to self-serve business rule management system
Axtria research hub
White Paper
Breaking Data Silos in Life Sciences with Axtria DataMAx™: A GenAI-Powered Approach for Commercial Data Management
White Paper
Unified Data Platform Build Vs. Buy: Key Imperatives For Life Sciences IT Organizations
Customer success stories
Case Study