Enterprise data modernization services for AI‑ready organizations
In today’s data-driven economy, legacy data environments struggle to support modern analytics, cloud scalability, and AI adoption. Complex and undocumented data models, tightly coupled ETL logic, fragmented warehouses, and aging platforms limit visibility, slow transformation initiatives, and increase operational risk.
TO THE NEW provides enterprise-grade data modernization services anchored in reverse engineering and structured data migration. Existing data architectures, schemas, transformations, and dependencies are systematically analyzed to establish full lineage, business-rule clarity, and technical transparency prior to migration.
This approach enables informed modernization decisions and minimizes migration risk. By aligning cloud-native architecture design, automated migration frameworks, governance, and DataOps-driven validation, data reliability, performance, and business continuity are maintained throughout the transformation journey.
- 30+ enterprise data lake implementations across AWS, Azure, and GCP
- 100+ Data experts delivering data globally
- 50% reduction in analytics data latency post-modernization
- Zero downtime for petabyte-scale cloud data migrations
Companies that trust us
Our data modernization services
Minimize business disruptions and restore data reliability at scale with our data modernization services.
Establish complete architectural visibility across legacy data environments by reverse engineering schemas, transformations, dependencies, and embedded business logic. This enables accurate impact assessment, migration planning, risk mitigation, and informed decision-making across complex enterprise data estates.
Design enterprise-grade data models aligned with business domains, analytics requirements, and cloud-native platforms. These standardized models improve data consistency, performance, interoperability, and governance across data warehouses, lakehouses, and enterprise reporting systems.
Transform rigid, monolithic data platforms into scalable, modular, and cloud-optimized architectures. Data re-architecture improves performance, enhances resilience, reduces technical debt, and enables seamless integration with modern analytics, AI, and real-time data ecosystems.
Establish intelligent governance through AI-driven metadata management and policy enforcement. We automate data classification, lineage tracking, and compliance monitoring to ensure secure, discoverable, and well-governed data without slowing innovation.
Transform raw data into actionable intelligence through modern analytics and BI frameworks. We deliver governed dashboards, predictive insights, and self-service reporting that accelerate decision-making and drive measurable business outcomes.
Our Data Capabilities
We work across leading cloud and analytics platforms to deliver secure, scalable, and future‑ready data solutions.
Modern, secure, and cost-efficient cloud data platform for analytics at scale
Unified platform for AI, data science, and advanced analytics
Our expertise
Modern Data Platform Design & Implementation
Design and modernize enterprise data platforms including data lakes, lakehouses, and warehouses enabling scalable, analytics-ready architectures through cloud-native frameworks and automated orchestration
Automating Data Governance & Quality
Embed governance and data quality controls directly into modern data platforms using automated validation, lineage, monitoring, and policy enforcement to ensure trusted, AI-ready data
Cloud-based Storage & Processing
Modernize legacy storage and processing layers with elastic, high-performance cloud architectures optimized for scalability, resilience, and cost efficiency across hybrid and multi-cloud environments
Enterprise Security, Compliance
Implement enterprise-grade security and compliance frameworks with role-based access, data classification, audit logging, and regulatory controls to support secure and compliant modernization
Unified Data Access
Standardize data workflows and enable governed self-service access to eliminate silos, improve data discoverability, and accelerate enterprise-wide analytics adoption
Continuous Optimization
Continuously monitor platform performance, data reliability, and cloud utilization to drive ongoing optimization, cost control, and long-term modernization sustainability
We enable AI-powered data ecosystems
Our data modernization solutions are purpose-built to support modern analytics, GenAI, and enterprise AI use cases.
Key capabilities:
Legacy data warehouse modernization into cloud and lakehouse architectures
Data lake modernization and consolidation of fragmented marts and analytical systems
Modern ETL/ELT pipeline engineering with automation and observability
High‑performance platforms optimized for analytics, AI/ML, and real‑time insights
Minimize downtimewith resilient, cloud-native
infrastructures.
How our data modernization services help you
Deliver measurable business outcomes by modernizing data architecture, improving data trust, and enabling analytics and AI at enterprise scale
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From Rigid Architectures to Scalable Data Platforms
Modernize monolithic and tightly coupled legacy systems into modular, cloud-native data architectures that scale on demand, support diverse workloads, and adapt quickly to evolving business requirements
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Intelligence-Driven & Automated Decision Making
Enable automated decision-making by delivering standardized, high-quality, and continuously validated data pipelines that power real-time analytics, machine learning models, and intelligent business processes
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Accelerated Analytics & Insight Delivery
Reduce data latency and improve performance through optimized data models, streamlined pipelines, and cloud-native processing enabling faster reporting, real-time insights, and analytics at enterprise scale
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Optimized Cost Structure & Reduced TCO
Lower infrastructure and operational costs by modernizing storage and compute, eliminating redundant pipelines, automating data operations, and aligning cloud consumption with workload demand
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Enterprise-Grade Governance & Compliance
Embed governance by design through centralized metadata management, lineage, access controls, and auditability ensuring secure, compliant, and trusted data across the modernized data ecosystem.
Data modernization services across industries
Address industry-specific data challenges, regulatory requirements, and analytics objectives, transforming ecosystems scalable platforms.
Case studies
Curating real stories, enabling real impact with our data modernization services.
90%
improvement in data accuracy through a centralized, validated data lake
Automated
data pipelines enabled seamless ingestion and processing across diverse sources
Tech used
Strengthened
customer engagement and fostered revenue opportunities
Lowered
operational costs and drove greater efficiency by streamlined workflows
Tech used
Support all data types. Scale analytics on-demand.
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Subscribe nowWhy choose us for our data modernization services?
We help enterprises transform legacy data environments into modern, cloud-native, and analytics-ready platforms that deliver consistent, trusted, and high-value data:
- Orchestrated pipelines with automated monitoring and validation deliver reliable, AI-ready data at enterprise scale
- Embedded governance, security, and compliance for secure data modernization service
- Rapid architecture design and MVP delivery powered by proven patterns and pre-built modules
- Proprietary Nimbus speeds MVP delivery with built-in security, governance, and faster time-to-value
- Standardized workflows and governed self‑service analytics for enterprise scale
FAQs
What are data modernization services, and why are they critical for enterprises?
Data modernization services transform legacy data systems into scalable, cloud-native platforms that support analytics, AI/ML, and real-time insights. By modernizing data warehouses, data lakes, and other enterprise data infrastructure, organizations improve data quality, accessibility, and governance while enabling faster decision-making and operational efficiency.
How does a data modernization service provider help businesses?
A data modernization service provider offers end-to-end support from assessment and strategy to implementation of data platform modernization services. They enable seamless database modernization, data migration services, and legacy data systems modernization while embedding governance, security, and scalability into the modern data architecture.
What are the key stages of data modernization?
Data modernization stages typically include: Data Modernization Assessment, Data Modernization Strategy Development, Data Migration & Transformation, Data Quality & Governance Implementation and Advanced Analytics Enablement.
How do data modernization services improve data infrastructure?
Modernization transforms data management systems into integrated, scalable, and secure platforms. Through data lake modernization, data warehouse modernization, and cloud-native architectures, enterprises enhance performance, improve data accessibility, and enable data analytics across the organization.
What is the role of expert data modernization consulting?
Expert data management consulting guides organizations in building a data modernization roadmap, selecting the right tools, and implementing legacy data modernization strategies. This ensures that investments in data architecture, data lakes, data warehouses, and data lakehouses are aligned with long-term business objectives.
Can legacy databases be modernized without disrupting operations?
Yes. Database modernization services and legacy database modernization approaches use phased migration, Database Migration Services, and automation to ensure minimal downtime. Secure data modernization solutions maintain business continuity while moving to modern data architecture and enabling real-time analytics.
How do data modernization services support analytics and AI/ML initiatives?
Modernizing data platforms, pipelines, and lakehouse/warehouse architectures creates governed, high-quality, and analytics-ready datasets. This enables scalable AI/ML model training, real-time analytics, and predictive insights, powering faster, data-driven business decision.
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