Stop Maintaining Legacy Systems. Start Innovating. We migrate, re-architect, and modernize your data platform to cut costs, break down silos, and build the foundation you need for AI.
Data and Analytics Modernization Services
Every month your organization runs on legacy data infrastructure, it pays twice — once in licensing and maintenance costs, and again in the innovation it cannot pursue. Multishoring’s data and analytics modernization consultants migrate, re-architect, and optimize legacy data platforms to cloud-native environments on Azure, Snowflake, and Databricks — eliminating technical debt, breaking down data silos, and building the governed, AI-ready foundation that modern enterprises require.
What we deliver
- Legacy to cloud migration (Oracle, SQL Server, Teradata)
- Data lake and data warehouse modernization
- AI-ready data foundation architecture
- Self-service analytics and BI implementation
- DataOps and CI/CD pipeline setup
- Cloud cost optimization and re-architecture
When leadership engages us
- IT budget consumed by legacy maintenance and licensing
- Data siloed across on-premise systems and spreadsheets
- Reports take days — decisions arrive too late
- AI and machine learning initiatives blocked by infrastructure
- GDPR, CCPA, or audit compliance gaps in old systems
- Cloud migration stalled or delivering no measurable ROI
Platforms and ecosystems
- Microsoft Azure (Synapse, Fabric, Data Factory, Migrate)
- Snowflake multi-cloud Data Cloud
- Databricks Lakehouse and Apache Spark
- Amazon Redshift and Google BigQuery
- dbt (data build tool) for modular transformation
- Legacy: Oracle, IBM DB2, SQL Server, Teradata
Business Outcomes of Data Platform Modernization
Reduced IT operating costs, eliminated legacy licensing fees, a unified single source of truth across the business, and an infrastructure ready to support AI, machine learning, and advanced analytics initiatives.
Operational Impact of Cloud Data Migration and Re-Architecture
Near-zero downtime migration, automated DataOps pipelines replacing manual change management, instant-scale cloud infrastructure, and self-service analytics that free IT teams from being a report factory.
Is Your Legacy Data System Causing Endless Problems?
Your Information is Trapped in Silo
Valuable information is locked in disconnected legacy systems, on-premise servers, and spreadsheets. You can’t get a 360-degree view of your business because your systems don’t talk to each other.
You’re Paying for Technical Debt
A huge chunk of your IT budget goes to maintaining outdated hardware and paying expensive licensing fees for legacy databases. You’re spending money to keep the lights on instead of innovating.
Reporting is Too Slow
Business leaders need answers in minutes, but your current system takes days to generate reports. By the time the data is ready, the opportunity to act has passed.
AI is Out of Reach
You want to implement machine learning or generative AI, but your current infrastructure can’t handle the workload. Your data isn’t structured or accessible enough to train modern models.
Security & Compliance Risks
Old systems lack modern security controls. You worry about “shadow data” living on unsecured laptops and struggle to meet new compliance regulations like GDPR or CCPA.
Our Method – Modernize Data for Speed and Value
We don’t just “lift and shift” your mess to the cloud. We treat modernization as a strategic reset. Our consulting approach makes sure your new platform is cheaper to run, easier to manage, and ready for the future.
Free Your Data
We transform static, siloed repositories into a dynamic ecosystem. By moving to modern cloud platforms (like Azure, Snowflake, or Databricks), we make data accessible to everyone who needs it, when they need it.
Build an AI-Ready Foundation
You cannot have AI without modern data. We architect your new platform specifically to support advanced analytics and machine learning, ensuring your data is clean, governed, and structured for innovation.
Stop Paying For Bad Data
We help you escape the high operating costs of legacy systems. By moving to flexible, cloud-native architectures, you stop paying for idle capacity and start paying only for the compute and storage you actually use.
From Legacy to Leading Edge – Full-Cycle Data Modernization
From the initial audit to the final switch-over, we handle the heavy lifting.
Modernizing a data platform is high-stakes engineering. Unlike generalist firms, we are specialized data architects. We handle the entire lifecycle: assessing your technical debt, designing the new cloud architecture, and executing the migration with near-zero disruption. You don’t need separate vendors for strategy and migration—we build your future-ready data engine.
Forensic Discovery & Assessment
We analyze your current estate to quantify technical debt, identify redundancies, and build a clear business case (ROI/TCO) for modernization.
Cloud Architecture Design
We design a scalable, secure cloud foundation (on Azure, AWS, or GCP) that fits your specific business needs and budget.
Automated Migration
We use advanced tools to migrate your data and workloads from on-premise mainframes and databases to the cloud, minimizing downtime and risk.
Re-Platforming & Optimization
We don’t just copy old bad habits to the cloud. We re-architect your data flows to take advantage of modern features like serverless compute and auto-scaling.
DataOps Implementation
We set up automated workflows (CI/CD for data) to streamline change management, so your team can release new data features faster and more reliably.
With us, modernization isn’t just an upgrade; it’s an advantage that just makes your business work better.
A Clear Data Path – Our Data Modernization Services
Experts in Data, Experienced with All Major Platforms
Modernization requires a deep understanding of both where you are coming from (legacy) and where you are going (cloud). We bring certified expertise to bridge that gap.
Beyond Modernization – Our End-to-End Data Services
Get Your Modernization Roadmap with Multishoring
Let’s talk about your current infrastructure and your vision for the future. Let’s jump on our initial strategy call, there’s no obligation. You’ll walk away with a clear understanding of how to modernize your data to cut costs and drive innovation.
Thank you for your interest in Multishoring.
We’d like to ask you a few questions to better understand your IT needs.
Signed, sealed, delivered!
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Frequently Asked Questions about Data Modernization
What is the difference between data migration and data modernization?
Migration is simply moving data from A to B (like “lift and shift”). Modernization involves re-architecting your system to take advantage of cloud capabilities—like scalability, automation, and AI readiness. Migration is a step; modernization is the transformation.
Will modernization disrupt our daily business operations?
Our goal is “near-zero disruption.” We use strategies like parallel processing (running the old and new systems simultaneously) and incremental migration to ensure your business keeps running smoothly while we build the new platform.
How do we handle security during a move to the cloud?
We implement modern security controls—encryption, identity management, and private networking—from day one. Often, a well-architected cloud environment is more secure than a legacy on-premise data center.
Do we need to modernize everything at once?
No. In fact, we often recommend an iterative approach. We identify a specific high-value use case or data domain to modernize first. This allows you to see value quickly and learn from the process before tackling the rest of the estate.