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Data & Analytics

Data & Analytics

Data is the foundation everything else stands on. We modernize fragmented, legacy data estates into governed, AI-ready platforms that produce insight, not just storage.

Overview

What we deliver

AI, automation, and reporting are only as good as the data beneath them. AdvanSys delivers data modernization and analytics that move organizations from siloed legacy warehouses to governed cloud data platforms, including data strategy, warehouse to data lake migration, platform modernization, and analytics.

For mission and regulated environments, we build in quality and governance from the start, including support for quality measure processing and the controls that keep sensitive data protected as it scales.

Capabilities

What this practice covers

Data Strategy & Architecture

A practical roadmap from current state to a governed, scalable, AI-ready data platform.

Warehouse to Data Lake Migration

Migrating legacy data warehouses to modern cloud data lakes without losing lineage or control.

Platform Modernization

Re-architecting pipelines and platforms for performance, cost, and reliability at scale.

AI Data Solutions

Preparing and structuring data so generative and analytical models produce trustworthy results.

Analytics & Visualization

Dashboards and insight generation that put answers in front of decision-makers.

Data Quality & Governance

Lineage, quality measures, and governance that keep data accurate, compliant, and trusted.

Why it matters

Outcomes you can defend

A governed, trusted data platform that powers reporting, analytics, and AI, with lineage and quality intact through the migration.

  • Data Strategy & ArchitectureA practical roadmap from current state to a governed, scalable, AI-ready data platform.
  • Warehouse to Data Lake MigrationMigrating legacy data warehouses to modern cloud data lakes without losing lineage or control.
  • Platform ModernizationRe-architecting pipelines and platforms for performance, cost, and reliability at scale.
Approach

A disciplined, repeatable method

01

Map the data estate

We inventory sources, quality, and obligations to define the target state.

02

Migrate and modernize

We move workloads to governed cloud platforms with lineage intact.

03

Model for analytics and AI

We structure data for reporting, analytics, and AI.

04

Govern and sustain

We embed quality and governance so the platform stays trustworthy.

Standards & tools

Built on the frameworks your program is measured against

Cloud data lakesLakehouseBI & visualizationData governanceAI-ready dataMARS-E / HIPAA
Federal Relevance

Built for federal scrutiny

Agencies sit on decades of legacy data. Modernizing it, with governance and quality intact, is the prerequisite for analytics and AI. We deliver that migration with the controls federal data requires.

  • Legacy data warehouse to cloud data lake migration
  • Quality measure processing for health and benefits programs
  • Data governance, lineage, and quality controls
  • An AI-ready data foundation for downstream automation
Questions

Frequently asked questions

Where do most data modernization projects go wrong?
They treat migration as a lift and shift and lose governance, lineage, and quality. We modernize the platform and the controls together, so the result is trustworthy, not just newer.
Can you prepare our data for AI?
Yes. Structuring and governing data is the foundation of reliable AI. We prepare data estates specifically so models produce accurate, auditable results.
Do you support cloud data lake migrations?
Yes. We migrate legacy data warehouses to modern cloud data lakes across major platforms, preserving lineage and adding governance.
How do you handle sensitive or regulated data?
We build quality and governance in from the start, including quality measure processing and the access and privacy controls regulated and federal data require.
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Related capabilities

Talk to us about data & analytics

Tell us where you are today and we will map a practical path forward, with the talent to deliver it.