Data Modernization Services

Smarter, faster and more reliable data

Your data should work as hard as you do 

It’s time to upgrade to a system where your data isn’t just sitting there but is building a foundation for your business. Intellias will help you break free from data limitations, whether you’re dealing with information that is spread across departments, reporting challenges or outdated systems that slow you down, cost you money and leave you vulnerable.

Our data modernization services change how you view and use information. Because you need answers now — not excuses about why your systems can’t keep up. We transform your data infrastructure into a dynamic ecosystem that learns, adapts and evolves at your speed.

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Replace yesterday’s clunky systems with connected data platforms that give you clear answers when you need them

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Our data modernization services 

We don’t reinvent the way your data infrastructure is built. We help your business become resilient and responsive to changes. Using industry best practices, automation tools and cloud service providers (CSPs), we build a data modernization strategy that aligns with your business.

Discovery and assessment 

A deep forensic analysis of the entire data ecosystem to ensure controlled data modernization with proven processes, justifying the need, costs and value.

  • Data landscape rationalization
  • Redundancies/dependencies identification
  • Quantifying technical debt & its business impact
  • Cloud data readiness & TCO evaluation
  • Data strategy development
Data innovation 

Data architectures and smart algorithms, bringing to life performant data products and optimizing the data solution lifecycle from development to production.

  • Modern data and analytics platforms
  • AI and ML implementation
  • Platform-led core system modernization
  • ML-supported data quality management
  • Proprietary Intellias accelerators and products
Migration and implementation 

Going beyond the transition—translating modernization plans into data architectures, integrations, orchestration and interfaces with near-zero disruption.

  • Custom migration paths for each data asset
  • Cloud data transitions across Azure, AWS, GCP and Salesforce
  • Legacy system upgrades with minimal operational disruption
  • Data integration and governance frameworks
Data engineering and management 

End-to-end data infrastructure with optimal system components and support for both traditional and unstructured data models.

  • Data lakes and data lakehouses with source integration
  • Data warehouses / ETL / ELT
  • Data fabric / data mesh
  • AI-/ML-powered data pipelines
  • Intelligent data quality management systems

We de-risk and modernize your data ecosystem with proprietary solutions 

IntelliAssistant

AI copilot platform that improves corporate productivity through personalized assistance. Functions as a technology-agnostic GenAI accelerator that uses organizational data to speed up workflows and improve the employee experience.

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Prefix (industrial IoT platform) 

Microservices-based IoT platform that prevents equipment failures through predictive maintenance. Collects, stores and analyzes real-time sensor data to build predictive maintenance models that identify potential system failures before they occur.

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IntelliTwin

AI-supported cloud platform for creating 3D digital twins of physical facilities with a no-/low-code emulation option. Integrates predefined components with IoT device data to create 3D models that represent real-world infrastructure.

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GIS Accelerator

Geospatial intelligence solution that applies AI algorithms to translate location data into real-time insights on top of traditional mapping features. Captures, structures and visualizes multi-dimensional spatial data to create detailed representations of terrain and objects for analysis.

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Let’s identify your highest-value data modernization
opportunities at a design thinking workshop for AI

The results speak for themselves 

70+  

New datasets extracted from legacy mainframe systems


Data modernization gave our retail client clear inventory insights and POS analytics. This helped them make fact-backed decisions that improved both operations and customer interactions.

30% 

Reduction in operating costs


By modernizing telecom data architecture and migrating BSS to a multi-cloud environment, we realized advanced data analytics capabilities and streamlined OSS, driving savings for a leading telecom provider.

5 million

Customers with improved service


A top 500 Amazon seller significantly improved customer service through platform modernization, enhancing both functionality and the user experience.

Our data modernization approach is based on phased implementation 

Data modernization services go beyond moving databases. It’s a fusion of business vision, architectural design and technological innovation, anchored in value creation. Intellias offers a smooth path to modernizing your data infrastructure and data warehouse through database modernization services, supported by risk-informed strategies and technology expertise.

DiscoveryWorkshopPOCReqsAnalysisArchitecturePhases Budget/Timelines ImplementationAgile developmentMVPDeliveryDeploymentCloud/on-prem/hybridAutomationML/AnalyticsSupportDataOps Training  Improvement

Discovery

A high-level, low-risk evaluation of opportunities by gathering requirements and holding a joint POC workshop

Analysis
and design

Creating a future-proof architecture based on finalized requirements, budget, timeline and tech constraints

Implementation

Full development lifecycle including DataOps practices, MVP creation, SSOT delivery and system integration

Deployment

Implementing cloud infrastructure, machine learning and advanced analytics; automating data quality

Managed support

Ongoing optimization for longevity and performance of the data solution

Our strategic partners 

Your data modernization success depends on choosing the right technology, not a one-size-fits-all solution. That’s why we prioritize vendor neutrality, partnering with leading cloud platforms and technology providers to ensure the best fit for your needs and maximize the value of your investment.

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Our data experts 

Eugene Berko image

Eugene Berko

Director of Technology Practices

Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.

Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.

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Viktor Sokolov

Head of Data Governance Unit

Viktor brings 20 years of expertise in data and analytics, with a strong focus on the finance, retail, and wireless communications sectors. His key areas of specialization include data governance, data warehouse development, data modeling, and the implementation of BI systems for large-scale data environments.

As the Head of the Data Governance Unit at Intellias, Viktor works with clients to implement strategic frameworks that ensure regulatory compliance, uphold data integrity, and maintain high standards of data quality.

FAQ

Stop thinking about data modernization services as a purely technical upgrade. The real return comes from business model agility. Can you quickly personalize offers? Can you predict supply chain disruptions before they impact customers? Can you launch new digital services in weeks instead of months? When done right, data modernization solutions directly shape your top line and your market responsiveness. We’re talking about moving from reacting to market changes to driving them. Quantify that, and you’ve found your ROI.

The cost of data modernization can spiral if you just lift and shift legacy messes. Hidden expenses go beyond cloud migration to data refinement, governance rework and skills development. Modernization costs depend on many factors, from how data is pruned and cleansed to the choice of governance framework for a distributed, cloud-native environment. Crucially, your teams must be trained to manage and extract value from the new ecosystem. If they aren’t, you’re essentially paying more for the same old problems. Well-executed database modernization services focus on long-term efficiency, not just immediate migration.

Not if done right. Data modernization services aren’t once and done, but data modernization projects don’t have to drag on forever. The key is setting clear goals and taking a phased approach, starting with the most critical data and expanding gradually. Think of it like renovating a house one room at a time — you can still live in the house while making improvements. Agile methods, incremental progress and ongoing training ensure your team keeps up, so you’re not just moving problems from one storage to another but actually fixing them.

AI is only as good as the data it’s trained on. If your data is siloed, inconsistent or outdated, your AI initiatives will fail to deliver the desired results. Data modernization solutions are more than just about technology; they’re about creating a centralized, high-quality data source that allows you to feed your algorithms the fuel they need to produce outcomes. The connection between data quality and AI performance is direct and unforgiving.

The problem isn’t a lack of data; it’s a glut of it. The goal of data modernization services should be to focus on data usability to make use of existing information quickly. This means investing in frictionless data integration, metadata management and data discovery solutions that offer you all the right information. Think about building data products — not just data warehouses — to give your decision-makers easily usable, curated and contextualized data.

Yes — you just need the right technical partner. At Intellias, we handle the heavy lifting, guide you through the process and keep the approach to your data ecosystem clear and practical. Working with Intellias is like hiring a skilled contractor: you don’t need to be an architect to get a great house built. Our database modernization services are your investment in efficiency, accuracy and future performance growth.

Contact us today

Move past the limits of legacy systems. Build your data estate with confidence in its long-term value.

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