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DATA

Cloud Data Platform Modernization

Modernize legacy data platforms to unlock agility, scalability, and real-time insight
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HOME > EXPERTISE > DATA > DATA PLATFORM MODERNIZATION

Modernizing Legacy Data Systems for a Smarter, Scalable Future

Outdated data platforms limit performance, flexibility, and insight generation. We help enterprises modernize their data environments by migrating legacy systems to scalable cloud-based architectures, like data lakes, warehouses, and lakehouses, designed for analytics and AI. Our proven methodology ensures every modernization effort drives measurable business value, operational resilience, and long-term agility.

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MODERNIZATION CHALLENGES

The Cost of Legacy Data Platforms

Traditional on-premise databases and outdated data warehouses are expensive to maintain, difficult to scale, and slow to deliver insights. These legacy systems often rely on rigid ETL pipelines and batch processing that hinder real-time decision-making and innovation. Without modernization, enterprises face growing technical debt, rising costs, and missed opportunities in analytics and AI.

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Monolithic Data Architecture Bottlenecks

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Slow, Rigid ETL and Reporting Workflows

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On-Premise Systems Blocking Scalability

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High Storage Costs and Licensing Fees

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Poor Governance and Security Oversight

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WHAT WE DO

Our Core Services for Modernizing Enterprise Data Platforms

We help organizations break free from legacy data constraints by designing and implementing scalable, cloud-native architectures. Our services cover the full modernization journey, from strategic assessments and cloud migrations to advanced analytics enablement and governance frameworks. Each offering is built to ensure long-term agility, performance, and business impact.

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Assessment & Architecture Blueprint

Evaluate existing data warehouses, pipelines, and reporting systems to align modernization efforts with both business and technical objectives.

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Cloud Migration & Implementation

Move legacy data environments to cloud-native platforms with minimal disruption, improved reliability, and measurable performance gains.

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Data Lakehouse & Advanced Analytics

Design and deploy lakehouse solutions (e.g., Delta Lake) that unify lakes and warehouses for AI-ready, scalable analytics environments.

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Governance & Cost Optimization

Establish access controls, data catalogs, and intelligent cost strategies for secure, compliant, and cost-effective enterprise data operations.

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Modern ETL/ELT Pipeline Development

Rebuild data pipelines using scalable, cloud-first architectures that enable faster, more efficient data ingestion and transformation workflows.

Our Data Modernization Framework

Our approach to data platform modernization follows a structured, proven process that reduces risk and maximizes long-term value. By combining technical best practices with business strategy, we ensure the new platform is both high-performing and future-ready. Each phase is designed to build momentum and deliver measurable improvements throughout the journey.

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We assess your existing data estate, identifying architectural gaps, data silos, and performance bottlenecks that hinder business value. This helps shape the modernization strategy based on business needs, regulatory requirements, and future growth plans.

We define a modern architecture blueprint, choosing between warehouse, data lake, or lakehouse based on analytics goals and technology alignment. Designs follow best practices like Azure’s Well-Architected Framework and include governance, cost, and security considerations.

We implement cloud-native data platforms, migrating data workloads and building new pipelines with tools like Azure Data Factory or dbt. Emphasis is placed on minimizing disruption, validating accuracy, and enabling scalable, flexible data consumption.

We run validation cycles and benchmarks to confirm system performance, data quality, and accessibility improvements. Stakeholders are engaged through dashboards, test scenarios, and analytics outcomes that highlight ROI and platform improvements.

We transition to steady-state operations with training, documentation, and governance enablement. Long-term support plans and cost monitoring ensure continued success as your data volumes and use cases evolve.

CASE STUDIES

Proven Success with Cloud Data Modernization

Our modernization work spans multiple industries, helping enterprises migrate from legacy systems to scalable, high-performance cloud data platforms. We’ve delivered faster insights, reduced operational costs, and enabled advanced analytics with technologies like Snowflake, Databricks, and Azure Synapse. From large-scale data lake implementations to warehouse replatforming, our clients consistently see measurable improvements in speed, flexibility, and value delivery.

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Cloud Data Warehouse Modernization On Snowflake

Improving partnered with Collision Auto to modernize their cloud data infrastructure using Snowflake, consolidating fragmented ERP data to enhance pricing strategies, inventory management, and executive decision-making through scalable analytics and improved visibility.

Snowflake

PowerBI

Amazon S3

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Supervisory Control and Data Acquisition Modernization

Improving partnered with Inter Pipeline to design and implement a secure, scalable Azure-based architecture that streamlined SCADA data replication and analytics, enabling self-service insights, centralized access, and improved operational efficiency while meeting strict security requirements.

Microsoft Azure

PowerBI

Microsoft SQL Server

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Cloud Data Warehouse Modernization On Snowflake

Improving partnered with Integra Connect to modernize their cloud data warehouse using Snowflake, dramatically improving data processing speed, reducing costs, and enabling real-time analytics to support their expanding precision medicine and specialty care operations.

Snowflake

dbt

Microsoft Azure

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Real-Time Streaming Transformation

Improving partnered with Centene to modernize its data infrastructure using Kafka and real-time streaming, unifying data across subsidiaries and enhancing scalability, regulatory compliance, and operational efficiency through a cloud-based solution.

Kafka

Confluent

Spring Boot

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Let’s Modernize Your Data Platform

Unlock faster insights, lower costs, and long-term scalability with a cloud-native approach.

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WHY IMPROVING

Why Enterprises Choose Improving for Data Platform Modernization

We bring a strategic, scalable, and secure approach to modernizing your data infrastructure. Our consultants combine technical expertise with business alignment to ensure migrations deliver real value. From assessment to implementation, we architect solutions built for agility, insight, and growth.

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  • Proven experience with Fortune 1000 cloud data modernization

  • Deep expertise in Snowflake, Databricks, Azure, and AWS platforms

  • Focus on business continuity with minimal migration disruption

  • Alignment to Well-Architected Framework and compliance best practices

  • Scalable architectures built for analytics, AI, and evolving data needs

OUR PARTNERS

Strategic Cloud & Data Platform Partners

We work closely with top-tier cloud and data providers to ensure our clients benefit from the most advanced and scalable technologies available. These partnerships allow us to accelerate migrations, apply best practices, and unlock the full value of cloud-native architectures. From Microsoft's Fabric to Databricks lakehouses, our partner network strengthens every modernization engagement.

Microsoft Solutions Partner

Microsoft

As a long-standing Azure partner, we align modernization strategies with Microsoft’s Well-Architected Framework and leverage tools like Fabric, Synapse, and Data Lake for enterprise-grade data platforms.

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Databricks

Our expertise in Databricks allows us to build powerful lakehouse architectures using Delta Lake, supporting AI, BI, and unified analytics at enterprise scale with high performance and flexibility.

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Snowflake

We modernize legacy warehouses with Snowflake's cloud-native platform, enabling faster queries, elastic storage, and secure data collaboration across the enterprise.

TECHNOLOGY STACK

Technologies That Power Modern Data Platforms

We implement proven, enterprise-ready technologies that support scalable, secure, and cost-effective cloud data platforms. From cloud-native databases to orchestration tools, we select best-in-class technologies tailored to each client’s modernization goals. These tools accelerate migration, enhance performance, and lay the groundwork for advanced analytics and AI.

Cloud Platforms

Amazon Redshift

Amazon S3

Azure SQL Database

Azure Synapse

BigQuery

Databricks

Delta Lake

Microsoft Fabric

Snowflake

MICROSOFT FABRIC

Modern Analytics Solutions Powered by Microsoft Fabric

We help enterprises unlock the full potential of Microsoft Fabric by unifying data engineering, analytics, and business intelligence into a single, scalable platform. Our team designs and implements Fabric solutions that centralize data movement, streamline ETL, and deliver real-time insights through seamless Power BI integration. From governance and performance tuning to architecture and rollout, we guide organizations through every phase of their Fabric adoption to drive faster decision-making and maximize return on data investments.

Our Microsoft Fabric Services

  • End-to-end Fabric solution architecture and rollout

  • Centralized data pipeline modernization with Dataflows Gen2

  • Real-time analytics and reporting with Power BI

  • OneLake setup for unified data lake storage

  • Data governance, security, and workspace structuring

  • Fabric performance optimization and team enablement

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RELATED SERVICES

Explore Our Other Modern Data Services

Modernizing your data platform is one critical step in a larger digital transformation journey. We offer a full suite of services that span application modernization, integration, data strategy, and analytics to support end-to-end modernization. Explore more of our related capabilities below to maximize the impact of your data investments.

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Real-Time Data Systems

Implement streaming data pipelines and event-driven architecture to power immediate insights, faster decisions, and responsive digital experiences.

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Data Integration & Engineering

Build scalable data pipelines that unify sources, automate transformation, and deliver high-quality, trusted data.

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Business Intelligence & Analytics

Turn raw data into visual dashboards, predictive models, and AI-powered insights that drive smarter decisions.

THOUGHT LEADERSHIP

Latest Modern Data Insights

Stay current with insights, trends, and strategies for modern data architecture. Our thought leadership explores best practices in cloud migration, lakehouse implementation, governance frameworks, and cost optimization. Browse the latest articles from our data experts to stay ahead of what's next.

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Datos

Repaso a la gira mundial del streaming de datos: Una perspectiva Improving

Cómo Improving experimentó el Confluent's 2025 Data Streaming World Tour.

CONTACT US

Let’s Modernize Your Data Platform Together

Have questions about your data platform modernization journey? Our experts are ready to help you assess your current environment and define a strategy for scalable, cloud-based success. Let’s start a conversation today.

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