Stop maintaining legacy systems. Start innovating. We migrate and re-architect your data platform to Azure, Snowflake, or Databricks – cutting licensing costs, breaking data silos, and building the governed, AI-ready foundation your business can actually trust.
Is Your Legacy Data System Quietly Draining Budget and Trust?
No Single Version of the Truth
Your numbers live in disconnected legacy systems, on-premise servers, and competing spreadsheets – so every meeting starts with an argument about whose figures are right. Without a 360-degree view, leadership makes calls on data no one fully trusts.
You’re Funding Technical Debt, Not Innovation
A large share of your IT budget goes to maintaining aging hardware and renewing expensive legacy database licenses. That’s money spent keeping the lights on – not on the analytics or AI that would move the business forward.
Decisions Arrive Too Late
The board needs answers in minutes, but your systems take days to produce a report. By the time the numbers land, the window to act has already closed.
Your AI Roadmap Is Blocked at the Data Layer
You want machine learning and generative AI, but aging infrastructure can’t carry the workload and your data isn’t clean, governed, or accessible enough to train on. The result is “garbage in, garbage out” – and an AI strategy that stalls before it starts.
Compliance and Shadow Data Are a Standing Risk
Legacy systems lack modern security controls, while critical data sits in “shadow” spreadsheets on unsecured laptops. That’s an audit exposure and a GDPR or CCPA gap waiting to surface at the worst possible time.
Our Method – Modernize Data for Speed and Value
A “lift and shift” just moves your problems to a more expensive address. We treat data modernization as a strategic reset: a platform that costs less to run, is easier to govern, and gives every decision one trusted source of truth.
End the Data Silos
We turn disconnected legacy systems and spreadsheets into one governed platform on Azure, Snowflake, or Databricks. The right people get the right data on demand – and everyone works from the same numbers.
Build an AI-Ready Foundation
There is no credible AI without modern, trustworthy data. We architect your platform so data is clean, governed, and structured for advanced analytics and machine learning – no “garbage in, garbage out.”
Stop Paying for Idle Legacy
We help you exit the fixed cost of aging hardware and legacy licenses. Cloud-native architecture means you pay for the compute and storage you actually use – and the savings fund a measurable ROI, not idle capacity.
From Legacy to Leading Edge – Full-Cycle Data Modernization
From the first audit to the final cutover, we own the heavy lifting – and the risk.
Modernization is high-stakes engineering, and the wrong partner turns it into an outage. We are specialized data architects, not generalists. One accountable team runs the full lifecycle – quantifying technical debt, designing the cloud architecture, and migrating with near-zero disruption. No hand-offs between a strategy vendor and a migration vendor, and no finger-pointing when something breaks.
Forensic Discovery & Assessment
We map your current estate, quantify technical debt, and flag redundancies – then hand you a defensible ROI and TCO business case before any budget is committed.
Cloud Architecture Design
We design a scalable, secure, governed cloud foundation on Azure, AWS, or GCP – sized to your workloads and your budget, with security and compliance built in from day one.
Automated Migration
We move data and workloads off on-premise mainframes and legacy databases using automated tooling and parallel runs – so downtime, risk, and business disruption stay minimal.
Re-Platforming & Optimization
We don’t copy old bad habits into a new bill. We re-architect your data flows for serverless compute and auto-scaling, so the platform performs better and costs less to run.
DataOps Implementation
We put automated, audit-ready pipelines (CI/CD for data) behind your platform, replacing manual change management – so new data features ship faster and with fewer errors.
Modernization isn’t an IT upgrade – it’s a lower cost base, faster decisions, and a data foundation the business can finally trust.
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
Data Warehouse Consulting Services
Your strategy needs a strong technical foundation. We design and build the scalable, secure cloud architecture to make it a reality.
Data Analytics & Strategy Consulting
Ensure your modernization effort aligns with your long-term business goals. We help you build the roadmap.
Data Management Services
Keep your new platform clean. We provide the ongoing data quality and master data management services you need.
Get Your Modernization Roadmap with Multishoring
Bring your current setup and your goals. We’ll walk through where your legacy costs and risks actually sit, and what a move to Azure, Snowflake, or Databricks would realistically involve for your environment. You’ll leave with a clear view of scope, an honest read on risk, and a first TCO direction – before any commitment is made.
Book a 30-minute Modernization Briefing – no pitch, no obligation.
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!
Await our messenger pigeon with possible dates for the meet-up.
Frequently Asked Questions about Data Modernization
What is data modernization, and how is it different from data migration?
Migration moves data from A to B – a “lift and shift.” Modernization re-architects the platform so you actually gain cloud scale, automation, governance, and AI readiness. Migration is a step; data modernization is the outcome that makes the move worth funding.
What do data modernization services and consulting typically include?
Full-lifecycle data modernization consulting covers a forensic legacy assessment, an ROI/TCO business case, target cloud architecture design, the migration itself, and DataOps to keep it running. The point isn’t a one-off project – it’s a governed platform your teams trust after go-live.
Will modernization disrupt our daily business operations?
Our target is near-zero disruption. We run the old and new platforms in parallel and migrate incrementally, validating outputs before any cutover – so operations and reporting keep running while the new platform is built. No transition lands as an outage on the board’s desk.
How do you handle security and compliance during a move to the cloud?
Security controls – encryption, identity management, private networking – are designed in from day one, not bolted on later. We also build the data lineage and audit trails that GDPR, CCPA, and internal audit require. A well-architected cloud platform is usually more defensible than an aging on-premise estate.
Do we need to modernize everything at once?
No, and we usually advise against it. We start with one high-value data domain or use case, prove the ROI, then extend the roadmap in phases. You see measurable value early and de-risk the rest of the program before scaling it.
How much do data modernization services cost?
There’s no honest flat rate – cost depends on your legacy estate, data volumes, number of source systems, and target platform. That’s why we start with a fixed-scope assessment that produces a TCO analysis and business case first, so you approve a budget against real numbers, not a generic estimate.
How long does a data modernization project take?
A single, well-understood domain migration is typically a matter of months, while a full enterprise platform modernization runs as a phased program over a longer horizon. The assessment phase produces a realistic timeline for your specific environment – we don’t hand out generic ranges.
Should we modernize to Azure, Snowflake, or Databricks?
It depends on your workloads, existing ecosystem, and where your analytics and AI roadmap is heading – not on a vendor preference. As Microsoft Azure certified specialists who also build on Snowflake and Databricks, we recommend the fit for your case, so the platform decision is driven by your needs rather than a single-vendor agenda.
What’s the difference between database modernization and data platform modernization?
Database modernization services focus on the database layer – moving off legacy engines like Oracle, SQL Server, Teradata, or IBM DB2 onto modern cloud-native alternatives. Data platform modernization is broader: the full analytics stack – ingestion, warehouse or lakehouse, governance, BI, and AI readiness – on top of that database. Most enterprises need both, which is why we scope them together.
Can data modernization consultants work with our in-house data team?
Yes – most engagements are collaborative. Our data modernization consultants handle the high-risk architecture and migration work, while transferring knowledge so your team owns and runs the platform confidently afterward. The goal is capability in-house, not a permanent dependency on us.