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Innowise is an international full-cycle software development company founded in 2007. We are a team of 1600+ IT professionals developing software for other professionals worldwide.
About us
Innowise is an international full-cycle software development company founded in 2007. We are a team of 1600+ IT professionals developing software for other professionals worldwide.

Data modernization services

At Innowise, we draw on over a decade of experience to build rock-solid data ecosystems. Our skilled team uses the latest tech to build efficient data collection and processing pipelines, all while keeping up with current trends and data governance standards.

9+

years of experience

At Innowise, we draw on over a decade of experience to build rock-solid data ecosystems. Our skilled team uses the latest tech to build efficient data collection and processing pipelines, all while keeping up with current trends and data governance standards.

9+

years of experience

Data modernization is key for businesses that want to stay competitive, as it helps them manage the ever-growing volume and complexity of data. By updating their data strategies and technologies, companies can improve accuracy, make better decisions, and gain valuable insights that drive innovation and growth.
  • Data modeling
  • Data governance
  • Data quality management
  • Audit and cloud migration
  • Data lake design and development
  • Data warehouse design and setup
  • Data pipelines and ETL workloads development
  • Advanced analytics
  • Digital data management

Data modeling

We create comprehensive data models – including traditional structures, dimensional datasets, and unstructured big data models – to keep your data secure and accessible efficiently, giving you evidence-based insights via a single source of truth.

Data modeling

Data governance

Our team sets up strong data governance frameworks by bringing together people, processes, and technology. This promotes democratization and standardization – which, in turn, improves data visibility, quality, and reliability.

Data governance

Data quality management

We use machine learning-based solutions to catch data anomalies in real-time – making sure your data is accurate and trustworthy, preventing costly errors, and providing a solid foundation for your analytics and operations.

Data quality management

Audit and cloud migration

Our experts dig deep into your data platform to improve data collection, aggregation, and transformation – delivering a strategic data modernization roadmap for migration to modern platforms using on-premise, cloud (such as Azure/AWS), or hybrid solutions.

Audit and cloud migration

Data lake design and development

We design and build scalable data lakes with detailed flow setups – making it easy for your team to integrate different data sources and create a unified view for exploration and curation.

Data lake design and development

Data warehouse design and setup

At Innowise, we’re all about data warehouse modernization services that fit your analytics needs. Using RDBMS, NoSQL, columnar, and MPP architectures, our solutions support exploration, modeling, and analysis within on-premise, cloud, or hybrid environments.

Data warehouse design and setup

Data pipelines and ETL workloads development

We design rock-solid data pipelines and ETL processes that make data capture from digital interactions a breeze. By pulling in data from a variety of internal and external sources, we make sure everything runs perfectly – whether it’s on-premises or in the cloud.

Data pipelines and ETL workloads development

Advanced analytics

Our data engineering solutions take full advantage of cutting-edge analytics tools – think Azure, AWS SageMaker, and Google Cloud Platform – to provide you with actionable insights that help you make smarter decisions and up your game.

Advanced analytics

Digital data management

We provide all-in-one digital data management solutions – covering everything from data analytics services to data integration, management, and accessibility – using tools like Talend, Microsoft SQL Server, and MySQL efficiently.

Digital data management
Data modeling

We create comprehensive data models – including traditional structures, dimensional datasets, and unstructured big data models – to keep your data secure and accessible efficiently, giving you evidence-based insights via a single source of truth.

Data governance

Our team sets up strong data governance frameworks by bringing together people, processes, and technology. This promotes democratization and standardization – which, in turn, improves data visibility, quality, and reliability.

Data quality management

We use machine learning-based solutions to catch data anomalies in real-time – making sure your data is accurate and trustworthy, preventing costly errors, and providing a solid foundation for your analytics and operations.

Audit and cloud migration

Our experts dig deep into your data platform to improve data collection, aggregation, and transformation – delivering a strategic data modernization roadmap for migration to modern platforms using on-premise, cloud (such as Azure/AWS), or hybrid solutions.

Data lake design and development

We design and build scalable data lakes with detailed flow setups – making it easy for your team to integrate different data sources and create a unified view for exploration and curation.

Data warehouse design and setup

At Innowise, we’re all about data warehouse modernization services that fit your analytics needs. Using RDBMS, NoSQL, columnar, and MPP architectures, our solutions support exploration, modeling, and analysis within on-premise, cloud, or hybrid environments.

Data pipelines and ETL workloads development

We design rock-solid data pipelines and ETL processes that make data capture from digital interactions a breeze. By pulling in data from a variety of internal and external sources, we make sure everything runs perfectly – whether it’s on-premises or in the cloud.

Advanced analytics

Our data engineering solutions take full advantage of cutting-edge analytics tools – think Azure, AWS SageMaker, and Google Cloud Platform – to provide you with actionable insights that help you make smarter decisions and up your game.

Digital data management

We provide all-in-one digital data management solutions – covering everything from data analytics services to data integration, management, and accessibility – using tools like Talend, Microsoft SQL Server, and MySQL efficiently.

Data technologies + data governance + business knowledge = data modernization

Why choose Innowise for your data modernization needs

Innowise is your go-to partner for data modernization — offering unmatched expertise, custom-built solutions, and first-class security. Our team leverages the latest tech to make sure your projects are done just right. With us, you’re not just getting a service provider: you’re getting a committed partner focused on taking your business forward.
01

Years of industry know-how

Our team is worth their salt when it comes to data modernization. We use the latest tech and best practices to create solutions that fit your specific business needs.
02

Transparent communication

03

Predictable budget model

01 /03
Years of industry know-how

Our team is worth their salt when it comes to data modernization. We use the latest tech and best practices to create solutions that fit your specific business needs.

Vladislav Kozlov Senior Account Executive
Make data the heartbeat of your enterprise — not its Achilles' heel. Upgrade today to simplify your dataflows, connect your apps to every data source, and keep your data secure and organized!

Our data modernization strategy

When we talk about a comprehensive data modernization strategy, we’re looking at a complete overhaul of your existing IT infrastructure and services. It’s not a quick fix: it’s a strategic transformation to bring everything up to speed with the latest tech. We break it down step-by-step, making sure each phase is carefully planned and executed so your IT infrastructure only ever performs at its peak.
Assessment and planning
Data strategy
Modernizing data infrastructure
Integration and interoperability
Mapping and engineering
Data governance
Security and privacy
Data warehousing
Advanced analytics and AI
Modeling
Visualization
Skill development and change management
Philip Tsikhanovich Head of Big Data Department at Innowise
“Data modernization isn't just about upgrading technology; it's a whole new way of thinking about data. Simplifying data strategies and using modern tools gives businesses a golden opportunity to improve accuracy and make better-informed decisions. This shift is key to sparking innovation and staying ahead in today’s fast-paced digital world.”

Get a certified cloud partner to help you grow

Our strategic partnerships with AWS, Microsoft Azure, Databricks, and Google Cloud are essential for delivering high-end data modernization services. These alliances provide us with access to the latest technologies and best practices — meaning we’re able to craft custom solutions that elevate security measures while being cost-conscious.

Industries we serve

  • Healthcare
  • Retail and eCommerce
  • Finance and banking
  • Insurance
  • Manufacturing
  • Transportation and logistics
  • Energy and utilities
  • Education
  • Media and entertainment

Healthcare

Data modernization in healthcare is a game-changer, boosting patient care and making operations run better behind the scenes. By turning data into actionable insights, healthcare providers can fine-tune treatment plans and improve patient outcomes – making it an absolute must-have for any modern medical practice.

  • 20% increase in treatment accuracy
  • 30% drop in patient wait times
  • Improved patient satisfaction scores
Complex system integration

Retail and eCommerce

In retail and eCommerce, staying ahead of the game means getting smart with your data. Data modernization isn’t just a buzzword: it’s how you get to know your customers better. By tapping into data insights, you can personalize shopping experiences, keep your inventory in check, and increase both customer satisfaction and sales.

  • 25% improvement in sales conversion rates
  • 15% cut in inventory costs
  • 40% increase in customer retention
Complex system integration

Finance and banking

Modernizing how you handle data means safer operations and better-informed decision-making. With cutting-edge data analytics at their side, financial institutions can proactively keep risks in check while delivering personalized services that really hit the mark for their clients.

  • 50% decrease in fraud incidents
  • 30% jump in customer service efficiency
  • 20% boost in revenue from personalized products
Complex system integration

Insurance

Revamping data modernization in insurance is proven to boost your customer satisfaction as well as your revenue thanks to better risk assessment and personalized policy offerings. By turning data into actionable insights, insurers can fine-tune their pricing strategies and get their service delivery right every time.

  • 40% reduction in claim processing time
  • 35% increase in policyholder retention
  • 25% improvement in pricing accuracy
Complex system integration

Manufacturing

Data modernization is shaking things up in manufacturing by making supply chains and production processes much more efficient. Thanks to evidence-based data insights, manufacturers are increasingly able to cut costs, improve the quality of their products, and dramatically speed up time-to-market.

  • 20% drop in production costs
  • 30% boost in product quality
  • 25% faster time-to-market
Complex system integration

Transportation and logistics

In terms of transportation and logistics, data modernization is a game-changer when it comes to route planning and fleet management – shortening delivery times and giving cost efficiency a boost. With smart data insights, companies can fine-tune operations and deliver better service for their clients and customers.

  • 30% reduction in delivery times
  • 20% cut in fuel costs
  • 40% increase in on-time deliveries
Complex system integration

Energy and utilities

For energy and utilities, data modernization supports smarter grid management and resource optimization. By turning mountains of raw data into actionable, practical insights, you’re not just keeping the lights on: you’re giving your sustainability drive a push and making your services that much more reliable. Plus, it won’t do your reputation any damage.

  • 25% increase in energy efficiency
  • 35% drop in power outages
  • 20% more renewable energy in the mix
Complex system integration

Education

Upgrading data tools in education makes learning way more personal and improves academic outcomes. Thanks to evidence-based data insights, educators can tailor curricula, customize lesson plans, and connect with their students on a whole new level – leading to better results.

  • 30% increase in student engagement
  • 15% boost in graduation rates
  • 25% improvement in learning outcomes
Complex system integration

Media and entertainment

In the competitive media and entertainment microcosm, data modernization helps businesses better understand audience preferences and tailor their content delivery accordingly. Analyzing these real-world data insights means that media companies can create engaging products that captivate viewers and build brand loyalty.

  • 40% jump in audience engagement
  • 20% increase in content delivery speed
  • 25% boost in subscription rates
Complex system integration

Want to level up your data management?

Take control of your data environment with a single interface and fuel your digital growth.

Benefits of data modernization for your business

  • Unlock hidden potential
Data modernization helps you tap into the hidden potential of your existing data, making it easier to make strategic decisions and optimize processes. It turns raw data into valuable insights — giving you a clearer picture of opportunities and risks to fuel your business growth.
  • Better decision-making
With event-driven architecture and real-time accurate data at your fingertips, you can make smarter decisions and quickly adapt to market changes and customer needs. Modern data tools help you visualize trends and create effective strategies to stay ahead.
  • Increased efficiency
By automating data tasks, you can cut down on manual work and reduce errors — making operations run more smoothly. This efficiency lets your team focus on big-picture projects and come up with new ideas, which pumps up productivity and keeps everyone motivated.
  • Improved data accuracy
Upgrading and modernizing your data means having everything in one place — making it more reliable and consistent by consolidating it into a single source of truth. Having accurate data helps with compliance, decision-making, and building trust with everyone involved.
  • Scalability and flexibility
A modern data setup can easily handle more input and information and adapt to whatever your changing business needs throw at you. This scalability means you can respond to changes quickly and grab new opportunities as they come.
  • Cost savings
By optimizing how you store and process data, you can quickly cut down on waste and lower your existing costs. Smart data management means you can allocate your existing resources more effectively, invest in new ideas, and boost your bottom line.

Data platform modernization value chain

Our data modernization roadmap

At Innowise, we’re here to help you every step of the way throughout your data transformation journey. Thanks to our hands-on approach and a comprehensive data modernization roadmap custom-built for your business, we make sure your data systems not only meet today’s needs, but also grow with your business tomorrow.
System assessment
  • Take stock of all existing data sources
  • Evaluate data quality and storage
  • Review governance and integration
Goal setting
  • Identify and understand business goals
  • Define measurable outcomes
  • Align objectives with priorities
Roadmap development
  • Create a tailored plan
  • Focus on impact
  • Outline sequential steps
Infrastructure selection
  • Evaluate cloud vs. on-premise options
  • Assess regulatory requirements
  • Recommend the best approach
Data integration
  • Consolidate various sources
  • Make it easy to access
  • Keep your data consistent
Quality assurance
  • Set up data governance policies
  • Monitor data accuracy
  • Ensure compliance standards
Boosting analytics
  • Leverage advanced analytics
  • Implement AI solutions
  • Automate decision processes where possible
User training
  • Get everyone up to speed on new tools
  • Provide ongoing support
  • Encourage skill development
Continuous optimization
  • Keep an eye on progress
  • Adjust plans as and when it’s necessary
System assessment
  • Take stock of all existing data sources
  • Evaluate data quality and storage
  • Review governance and integration
Goal setting
  • Identify and understand business goals
  • Define measurable outcomes
  • Align objectives with priorities
Roadmap development
  • Create a tailored plan
  • Focus on impact
  • Outline sequential steps
Infrastructure selection
  • Evaluate cloud vs. on-premise options
  • Assess regulatory requirements
  • Recommend the best approach
Data integration
  • Consolidate various sources
  • Make it easy to access
  • Keep your data consistent
Quality assurance
  • Set up data governance policies
  • Monitor data accuracy
  • Ensure compliance standards
Boosting analytics
  • Leverage advanced analytics
  • Implement AI solutions
  • Automate decision processes where possible
User training
  • Get everyone up to speed on new tools
  • Provide ongoing support
  • Encourage skill development
Continuous optimization
  • Keep an eye on progress
  • Adjust plans as and when it’s necessary
Break out of those fragmented data silos. Transform outdated systems into a unified, future-ready data infrastructure.
Contact us
Break out of those fragmented data silos. Transform outdated systems into a unified, future-ready data infrastructure. Contact us

What our customers think

Aaron Cesaro CTO Ampligo S.r.l.
Ampligo S.r.l. logo

“Innowise’s collaborative ethos, technical prowess, and unwavering commitment to our success have left a lasting impression on us. Their ability to seamlessly integrate with our internal teams and adapt to the ever-evolving demands of our projects exemplifies a true partnership.”

  • Industry Arts, music & entertainment
  • Team size 2 specialists
  • Duration 30 months
  • Services Software modernization, custom development
Gian Luca De Bonis CEO & CTO Enable Development OÜ
Enable Development OÜ logo

“We are impressed with their flexibility and willingness to find solutions for challenging situations. They actively assisted in every kind of situations. The team's willingness to deliver optimal results ensures the partnership's success.”

  • Industry IT consulting
  • Team size 8 specialists
  • Duration 36 months
  • Services Staff augmentation
Nikolay Orlov CEO KEYtec AG
KEYtec AG logo

“What I found most impressive about Innowise was their ability to adapt to our specific needs while maintaining strict timelines. They combined a customer-centric approach with strong project management skills, ensuring that deliverables were of high quality and on time.”

  • Industry Financial services
  • Team size 2 specialists
  • Duration 8 months
  • Services IT managed services

FAQ

Data modernization is essentially the process of updating data infrastructure. We’re talking about moving from old or outdated systems to modern technologies – making data easier to use, more valuable, and better suited to what your business needs today.
Data modernization faces several challenges. For starters, integrating old systems with new technologies has a tendency to be complex and costly. Keeping your data clean and consistent across different systems can be a bit of a headache – and protecting data while navigating legal regulations is always a hurdle. On top of that, finding and training the right people to handle these new technologies can be tricky – not to mention expensive. There’s a lot to think about when you’re modernizing data systems – and Innowise is here to help.
First off, moving to the cloud is huge, since it gives businesses more room to grow and adapt. Then there’s AI and machine learning, which are game-changers for smarter and more automated data analysis. Data lakes are also gaining popularity thanks to their ability to store large amounts of raw data, while event-driven architecture is key for reacting to events in real-time. Speaking of real-time, quick data processing helps businesses get insights fast and make speedy decisions, and strong data governance keeps data secure and high-quality, so organizations can manage their data responsibly.
If you’re wondering why you should bother with data modernization solutions, it’s pretty simple: data modernization is all about making things run smoother and smarter. With modern data tools and services, you can manage your data more efficiently , make sharper decisions thanks to better analytics, and stay on top of current regulations and strengthen data security and protection.
Data warehouse modernization focuses on sprucing up traditional data warehouses to improve performance and analytics – often involving a move to cloud-based solutions. Data platform modernization, on the other hand, covers all data-related technologies and processes – including storage, integration, governance, and analytics, aiming for a total system refresh.

Feel free to book a call and get all the answers you need.

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    Why Innowise?

    1600+

    IT professionals

    93%

    recurring customers

    17+

    years of expertise

    1100+

    successful projects

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