AI and Data Readiness
Assess whether data, platform and governance capabilities can support planned AI use cases.
Services
Architecture advisory across the full data lifecycle
Engagements are scoped to the decisions in front of you—from a focused assessment to ongoing architecture leadership.
Cloud Data Architecture
Design secure, scalable cloud data platforms aligned to business and analytics outcomes.
Data Lake and Lakehouse Modernization
Modernize storage, table formats and processing layers for open, governed analytics.
Cross-Platform Data Migration
Plan and sequence safe movement of data across cloud and technology platforms.
Real-Time Data Streaming
Architect event-driven pipelines for operational analytics and real-time digital products.
Customer and Enterprise Data 360
Unify customer and enterprise entities into consistent, trusted domain models.
Data Quality and Observability
Establish measurable quality controls, monitoring and pipeline reliability practices.
Data Lineage and Metadata
Make data traceable and explainable across ingestion, transformation and consumption.
Data and User Security
Design access models, classification and protection controls into the platform itself.
Legacy Architecture Refactoring
Reduce risk and cost in aging pipelines, warehouses and point-to-point integrations.
Featured offers
Focused, time-boxed engagements
Data Architecture Health Check
Assess the current data environment, architecture risks and modernization priorities.
AI-Ready Data Foundation Sprint
Connect priority AI use cases to the required data, platform, governance and security capabilities.
Migration Blueprint
Create a structured plan for moving data safely across cloud and technology platforms.
Fractional Chief Data Architect
Provide ongoing architecture leadership, design reviews and executive advisory.