Data Modernization Services
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data limitations, whether you’re dealing with information that is spread across departments, reporting challenges or outdated systems that slow you down, cost you money and leave you vulnerable.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.
Are you facing these data challenges?
Fragmented data landscape
Important information is trapped in separate systems, making it hard to get the full picture and slowing down your ability to make decisions in real time.
Technical debt
Legacy data architectures create reliability problems, limit scalability, cause slow performance and demand specific skills that are getting harder to find.
Outdated data
analytics capabilities
While your competitors are making the case for AI and machine learning, your teams are still bogged down with basic reporting, widening the market gap.
High operating costs
Maintaining legacy data systems eats into your IT budget, leaving little room for innovation and growth projects.
Compliance and security risks
Old data infrastructure is missing modern security controls and governance features, which are vital to meet today’s regulatory requirements.
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.
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 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
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
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.
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.
Intellias Digital Twin
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.
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.
The results speak for themselves
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.
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.
Customers with improved service
A top 500 Amazon seller significantly improved customer service through platform modernization, enhancing both functionality and the user experience.
Our approach focuses on data as a value asset
Data monetization services aren’t one-size-fits-all. Our methodology starts with understanding how your organization creates and measures value. We then guide your data monetization process so you can extract tangible profit from your datasets.
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
Real benefits you can expect from data modernization with Intellias
Strategic yet practical delivery
We balance quick results with long-term transformation, delivering concrete improvements specific to your industry. Our data projects prioritize clear financial returns while supporting your strategic vision, ensuring you see real bottom-line gains from day one.
Transparency and prioritization
We keep processes visible and controlled from analysis to implementation, ensuring you always know what we’re doing and why it matters to your business through regular updates and clear progress metrics. We use vendor-agnostic technologies and frameworks based on your organization’s needs.
Phased implementation
Our approach keeps your business running while advancing in stages: from lighthouse projects to building data foundation, systematic transition and capability growth. This minimizes interruptions to normal operations while steadily strengthening your data value.
Modern data architecture for your business context
We build systems where your data scales with your needs. This means your systems and infrastructure remain easily accessible, connect across cloud environments both inside and outside your business and stay reliable through full compliance with data security and privacy regulations.
Complete data modernization
with cross-technology expertise
Our end-to-end services — from database modernization to AI-powered analytics — save you from piecing together solutions from multiple vendors. With experience from hundreds of successful data transformations, we bring a refined approach that balances innovation, pragmatism and effective risk management.
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.
Our data experts
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.
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.
Our insights and perspectives
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.