Data Platform Modernization:

Transform Your Data Estate for AI-Ready Insights

Unlock the Power of Modern Data Architectures

A fragmented, outdated data platform slows decision-making, increases costs, and limits the potential for AI-driven insights. Eastwall’s Data Platform Modernization engagement helps organizations transition from legacy on-prem, cloud, and third-party data environments to a unified, scalable, and AI-ready modern data estate.

Using our structured 6-step process, executed across three key phases (Assess, Design, and Release for Operations), we build a future-proof data strategy that enables real-time analytics, governance, and seamless integration with AI & ML.

Free Design Consultation

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A Structured Approach to Data Modernization

Eastwall ensures a controlled, strategic transition that optimizes your data architecture, governance, and analytics capabilities. We are constantly reviewing your data ecosystem through the lens of Eastwall's 6V Framework - Volume, Variety, Validity, Venue, Vocabulary, and Velocity.

Phase 1

Phase 2

Phase 3

Phase 1: Assess – Understand & Align

Enterprise Data Estate Review – Inventory on-prem, cloud, and third-party data sources
Common Data Model & Governance Strategy – Define standardized schemas, security models, and compliance playbooks
ETL & Orchestration Strategy – Identify transformation needs and automation potential

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Phase 2: Design – Architect the Future-State Data Platform

Integration with Azure Data Services – Modernize with Azure Synapse, Data Lake, SQL Data Warehouse, or Microsoft Fabric
Optimized ETL Pipelines & Data Transformation – Build efficient data ingestion, cleansing, and transformation workflows
Modern Business Intelligence Enablement – Support Power BI, Tableau conversion, and real-time reporting

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Phase 3:
Release for Operations – AI-Ready & Scalable

Data Warehouse & Analytics Model Deployment – Deliver optimized dimensions, fact tables, and data marts
Governance & Data Playbooks – Establish repeatable, secure, and well-documented data management processes
AI & Advanced Analytics Readiness – Enable Azure Machine Learning, Agentic AI, and industry-specific AI applications

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Why Eastwall for Data Modernization?

End-to-End Data Strategy – Unify on-prem, cloud, and third-party data sources into a modern architecture
Optimized for Azure Data Services – Seamless integration with Synapse, Fabric, Data Lake, and SQL Data Warehouse
AI & ML-Ready Framework – Prepare your data estate for advanced analytics and predictive insights
Business Intelligence & Reporting Support – Migrate from Tableau, optimize Power BI, and build real-time dashboards

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Industry

Healthcare; Nuclear Medicine

Services

Azure Virtual Desktop, Infrastructure Automation

Technologies

Azure Virtual Desktop, Terraform, GPU-Based Compute, Azure Active Directory

Read Case Study

FEATURED CASE STUDY

This business needed to build a scalable solution for the 2023 American Association of Physicist in Medicine (AAPM) conference. This conference would enable hundreds of qualified medical physicists and physicians to understand how dosimetry-guided radiopharmaceutical therapy (RPT) can optimize patient-focused treatment planning.

By partnering with Eastwall in an Azure Virtual Desktop Modernization engagement, our team was able to accomplish:

Deployment that supported 100 concurrent users in a GPU-compute based software environment.
Optimization of the cost & spend portfolio, reducing the cost significantly in the Azure ecosystem.
Created a rapidly scalable Virtual Desktop software solution that reduced scale-out times from weeks to days and could grow to support future marketing, sales, demonstration & production use-cases.
Robust backlog of future improvement product & software opportunities to enable customer adoption.