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Data Modernization Services
Reinvent Your Data Estate for Faster Time-to-Value. Cut Platform Run Costs by Up to 50%.
Why Modernize Data with Us?
Business-Aligned Modernization
Your ROI returns are the first thing on our mind. Our clients have reported close to 35% quicker time-to-insight and up to 30% operational efficiencies upon aligning data strategies with their business goals.
Our experts prioritize high-impact use cases in data modernization strategies. With secure, reliable and measurable enterprise data modernization, we help you unlock new level of operational efficiencies.
Automation for Speed and Accuracy
Our clients have reported back that automated data modernization solutions have reduced their timelines by 30-40% with up to 50% lesser errors. We handle schema conversions, BI rationalization, reconciliation testing to ensure compliance adherence and integrity of migrated data.
We leverage an automation-driven approach in data engineering to enable immediate usableness of modernized data so that you can compete well in fast-moving markets.
Built-in Governance and Compliance
Our experts at Radixweb bake governance into every data pipeline for end-to-end coverage of lineage and no compliance breach across data modernization solutions. We work on frameworks that adhere to audit-ready environments, niche industry mandates and global compliances like GDPR, HIPAA etc.
With this poised approach we have been able to reduce compliance risks on modernization projects by 60%, enabling wise decisioning for tech leaders.
Architectural Support for AI and Analytics
We build design architectures to help you scale for workloads of the future. Clients that have integrated our cloud data modernization services have come back to us with reports of 2X faster AI deployments and almost 45% infrastructure cost reduction.
We leverage lake house patterns, data mesh, multi-cloud strategies to build you flexible, secure and resilient data foundations.
Our Core Capabilities in Data Modernization Solutions
Data Modernization Strategy
Whatever your business challenge is – special analytics workload, regulatory constraints, legacy systems, we tailor your data modernization strategy with DataOps, selecting right platforms and business aligned uses cases.
Cloud Data Modernization
We help you adopt cloud-enabled platforms for Gen AI and analytics. We implement containerized and serverless pipelines along with Azure, AWS, GCP cloud, security, networking, identity and compliance foundations.
Data Platform Modernization
Our experts help transform your data platforms for modern AI use cases. We design reference architectures, enhance domain-level agility with data mesh and fabrics and unify lineage cataloguing.
Automated Data Modernization
Our specialization lies in making modernization cycles shorter. We use auto-discovery and impact analysis to chart our dependencies and sources, speed execution with pre-built pipeline templates, automated reconciliation.
Data Lake Implementation
We leverage lakehouse platforms like Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse to reduce computation costs up to 40%, combine batch and streaming data for real-time intelligence.
Big Data Integration
Our big data services converge high-volume sources into analytics-ready pipelines that enable real-time and batch processing. From streaming ingestion, schema evolution, advanced transformations to embedding governance – we handle everything.
Governance & Security by Design
We enforce in-built metadata, master data and data quality controls across the lifecycle. Our experts also establish stewardship frameworks, define roles and policies for ensuring privacy and compliance.
Data Quality & MDM
Our experts implement automated data profiling, cleansing, deduplication, and enrichment processes, along with MDM frameworks for ‘single-source-of-truth’ to enhance analytics reliability and reduced operational errors.
DataOps Enablement
We help you set up CI/CD pipelines for data workflows, automated testing, monitoring, and observability. We also integrate quality checks and lineage tracking into the lifecycle prompting faster releases.
Building Data Legacies for the Future
We solve critical data challenges with goal-aligned data strategies.
25+
Years in Engineering and Innovation
98%
Satisfaction Score from Business Partners
4200+
Successful Projects Across Industries
4.9
Consistent Rating on G2 and Clutch
Executive Discovery (2–4 weeks)
Our experts start the legacy data modernization process with a scoping process where we analyze your data foundations end-to-end to build a tailored strategy.
- Business Case, Risk Profile, and Prioritized Use Cases
- Target Architecture Options and Investment Envelope
- Domain-driven Value Hypothesis (Revenue Protection, OPEX Reduction, Compliance Risk Reduction)
Foundation Building (6–12 weeks)
In this stage, we further define the modernization process by finalizing the foundational build. We determine the following scopes:
- Cloud Landing Zones, Identity, Encryption, Policies
- Catalogue, Lineage, Quality Services; Domain Semantic Models
- Reference Pipelines for Batch + Streaming
Migrate & Scale
We build the release train in this stage where your data is migrated to cloud-native frameworks and optimized for delivering ready-to-use insights.
- Iterative Data Migration Services with Automated Testing
- BI/Report Rationalization and Schema Optimization
- Operational SLOs, FinOps Guardrails, Observability Instrumentation
Operate & Optimize
The final stage of modernization where we define how the migrated data performs, set up robust governance and prepare the data landscape for future scaling.
- DataOps/MLOps Processes, Governance Checks
- Expansion to Additional Domains and AI Use Cases
- Cost/Performance Tuning and Backlog Productization
Future-Proof Your Data Platform
Let’s build a governed data backbone for AI and advanced analytics.
Transforming Data with The Best of Tech
- Data Ingestion
- Data Storage
- Data Processing
- Monitoring & Observability
- Data Visualization
- Security & Governance
Apache Kafka
Apache NiFi
Azure Event Hubs
Logstash
Values We Drive with Enterprise Data Modernization
Customer 360
We transform data for centralized and highly governed views to tailor user experiences and reduce churn rates. We have drastically reduced infrastructure costs and improved system uptimes with cloud-native operations.
Real‑time Operations
Financial & Regulatory Reporting
AI‑assisted Workflows
Modernizing Data Assets for 30+ Industries
Telecommunications
Media and Entertainment
Technology and SaaS
Energy and Utilities
Our Awards and Recognitions
Why Opt for Our Data Modernization Services?
Data Modernization Services involve upgrading legacy data systems, architectures, and processes to support cloud, analytics, and modern workloads.
- Data readiness assessment, Business‑first Modernization Strategy
- Modular, Scalable, and Secure Analytics‑ready Platforms
- Accelerated Delivery with Automated Data Modernization Tools
- Reduced TCO, Higher Uptime, Faster Time-to-Insight
Frequently Asked Questions
How do data modernization services help organizations unlock the value of legacy data systems?
What are the key components of a successful data modernization strategy?
What technologies and platforms are commonly used in data modernization?
How does data modernization improve data security and compliance?
Can data modernization support advanced analytics and AI initiatives?
How long does a typical modernization take?
Will data modernization require refactoring all legacy systems?
How do you ensure timely delivery while adhering to governance?
Ready to Modernize Data?
We’ll build solid foundations for trusted business intelligence.