Nowadays, we are generating terabytes of data every second, AI is writing our emails, and yet some companies use data infrastructure which needs to be in a museum. The moment siloed systems, clunky legacy software, and manual processes begin choking the life out of innovation and efficiency — you are trying to win a Formula 1 race with a horse and buggy. If this sounds painfully too familiar, you are not alone. In this article, we'll cut through the hype and show you precisely how to realistically modernize your data infrastructure. We'll get into key steps and introduce you to Skyvia — the most comprehensive data integration platform that makes this process surprisingly simple. What Is Data Infrastructure Modernization? Data infrastructure modernization represents upgrading and changing an organization's data systems, architecture, and practices to fit the demands of modern business operations. That often has to do with overcoming the limitations of the systems of yore holding back agility and innovation today. We refer to those monolithic databases, siloed data lakes, and brittle ETL processes that struggle to keep up with the volume, velocity, and variety of modern data. Modernization isn't about buzzing words chasing each other. It's to make the enterprise have a very strong, scalable, secure foundation for data-driven decision-making. It could be in the form of: Migration to the cloud: Gain scalability, cost-efficiency, and accessibility with cloud-native services. Adopting a microservices architecture: It is about the development of big monolithic systems into smaller, more manageable components. Implementing robust data governance: Ensures the quality of data, secures data, and complies with regulations such as GDPR for data privacy or HIPAA for healthcare data protection. Modernizing Your Data Infrastructure in Steps Modernizing your data infrastructure requires a practical approach that ties directly to business goals and delivers measurable results. What follows is a very practical, step-by-step means of navigating this transformation effectively: 1. Set Clear Objectives and Goals Define the specific outcomes your organization aims to achieve through modernization. These objectives will serve as the foundation for your strategy and keep all stakeholders aligned. Is eliminating data silos the way to get more collaboration? Are you in need of real-time analytics to make quicker decisions? Is the objective to enhance operational efficiency through automation? Translate these objectives into measurable targets to ensure accountability. For example: Improve data accuracy by 20% within six months. Automate 50% of manual data handling tasks within the next quarter. 2. Assess Your Existing Infrastructure for Shortcoming A comprehensive review of your current systems, tools, and workflows is necessary to help you understand where your infrastructure has failed. This should include: Mapping all data sources, methods of storage, and integration points. Identifying inefficiencies that include duplicated processes, outdated systems, or siloed data. Assessing data quality, completeness, and governance practices. Apply this assessment to shed light on key areas for enhancement and focus efforts for the biggest impact moving forward with business operations. 3. Rank Initiatives by ROI Not all modernization efforts are created equal, and it is critical to ensure that resources are focused on areas that will yield the highest value. To this end: Implementation Cost: How much up-front will be needed for the project? Difficulty and Timeline: Is it going to be realistic to deliver it within the given amount of time? Expected Benefits: Will it reduce costs, improve decision-making, or drive revenue growth? Focus on short-term wins that meet immediate pain points but set up the prerequisite foundation for bigger, longer-term projects. For example, automating repetitive tasks like data imports can save time right away. Once streamlined, these processes make it easier to introduce more advanced solutions like predictive analytics. 4. Utilize Scalable Tools The tools you adopt will determine the success and scalability of the modernization effort. A modernized ecosystem typically requires tools in these categories: Data Integration Platforms: Tools that connect, transform, and synchronize data across systems. Cloud Platforms: Services like AWS, Azure, or Google Cloud to provide scalable and cost-efficient infrastructure. Data Storage Solutions: Modern databases and data warehouses such as Snowflake, BigQuery, or Amazon Redshift. Automation Platforms: Tools to automate data workflows, eliminate manual processes, and improve efficiency. Data Governance Tools: Solutions to ensure data security, compliance, and quality management. Choosing the right tools depends on your organization’s needs and scalability goals. For example, cloud-based platforms offer flexibility, while integration tools connect all your systems for a unified data environment. Why Skyvia? Skyvia is one such tool designed to simplify data integration and modernization of your data infrastructure. As a no-code cloud platform, it offers: An extensive library of 200+ connectors to unify data ecosystems effortlessly. Real-time integration capabilities to keep systems synchronized without delays. Powerful automation features to streamline repetitive workflows. With Skyvia, you can manage complex data operations without extensive technical expertise, making it a practical choice for businesses looking to modernize quickly and efficiently. 5. Implement and Monitor Success Using Key Metrics Once implemented, track the performance of your data infrastructure using key metrics: Data Processing Speed: Measure how quickly your systems process data. Set up KPIs: Data processing speed, error rates, and system uptime could all be tracked to assess performance. Regular Reviews: Periodically assess to ensure that objectives are being achieved and revise the strategy if necessary. Modernization is iterative. As your business evolves, so should your data infrastructure evolve with changing demands. Your data infrastructure should be flexible and scalable to grow alongside your business while adapting to future changes. Whether scaling up to meet increasing demands or optimizing for cost-efficiency, a well-designed system ensures you stay competitive and ready for tomorrow's opportunities. The Role of Skyvia in Modern Data Infrastructure Modernizing data infrastructure requires tools that deliver both power and simplicity. Skyvia is a no-code cloud data integration platform that enables organizations to integrate, synchronize, and transfer data between systems with ease. Its versatility, intuitive design, and affordable pricing make it a trusted solution for businesses of all sizes. ETL and Reverse-ETL: Simplify Data Integration Skyvia excels in Extract, Transform, Load (ETL) and Reverse ETL, enabling seamless data movement between systems. This provides organizations with the capability to move data into a warehouse or synchronize these data back into operational tools without hassle. Case in Point: Teesing Teesing, a global supplier in the high-tech OEM market, was constrained by manual data import/export workflows, which consumed valuable time and introduced errors. By implementing Skyvia’s data integration capabilities, Teesing automated these processes, streamlining data transfers between their website and CRM system. The result? A significant reduction in time spent on data tasks, enhanced accuracy, and improved operational efficiency. Real-Time Data Synchronization Skyvia ensures that data across systems is updated in real time, allowing teams to access the most accurate information. Whether it’s sales data, financial reports, or operational metrics, synchronization eliminates delays that can hinder decision-making and business performance. Case in Point: Cirrus Insight It made the work of the CRM platform less efficient for Cirrus Insight because of the disconnection of systems. Skyvia helped them resolve this issue with its Salesforce-to-QuickBooks integration, allowing synchronization of data between the systems in real time; this greatly improved the accuracy of financial reporting and operational flexibility. The streamlined processes reduced delays and saved costs previously spent on custom integration solutions. 200+ Connectors for Seamless Integration With over 200 pre-built connectors, Skyvia supports integration across platforms like Salesforce, Snowflake, QuickBooks, Shopify, and more. These connectors simplify otherwise complex integrations, enabling business users to quickly unify data systems. At the same time, its advanced mapping capabilities meet the needs of technical experts handling more complex data workflows. Case in Point: NISO NISO, a CFO services provider, needed to link MySQL databases with QuickBooks Online to scale its financial operations. Skyvia’s ready-to-use connectors enabled seamless data transfers between the platforms, automating processes that previously required manual intervention. This not only centralized their financial data but also allowed them to scale without introducing operational complexity. Automation Skyvia goes beyond integration by enabling workflow automation to handle repetitive tasks like data migration and cleansing. For advanced analytics and insights, businesses can pair Skyvia with dedicated analytics tools to fully leverage their integrated data. Automation was key for Teesing, allowing them to eliminate manual data processes and redirect resources toward strategic priorities. Similarly, NISO leveraged Skyvia’s automation features to ensure consistent and accurate financial data synchronization, boosting scalability without additional overhead. Cost-Effective and Scalable Solutions Skyvia offers flexible pricing plans, making it accessible for startups and enterprises alike. Its scalability ensures the platform evolves alongside a business’s data needs without requiring significant reinvestment. Ease of Use for All Users With Skyvia, IT teams and non-technical users can seamlessly connect to the interfaces presented through a no-code, wizard-based interface. This democratizes data management, enabling collaboration across the organization and reducing dependence on IT for everyday tasks. Skyvia is way more than a tool; it's a fully integrated platform to empower organizations with the ability to overcome the challenges of legacy systems and build scalable, future-proof data infrastructures. This article was written by Natalia Polomkina, Product Marketing Manager at Skyvia. Nowadays, we are generating terabytes of data every second, AI is writing our emails, and yet some companies use data infrastructure which needs to be in a museum. The moment siloed systems, clunky legacy software, and manual processes begin choking the life out of innovation and efficiency — you are trying to win a Formula 1 race with a horse and buggy. If this sounds painfully too familiar, you are not alone. In this article, we'll cut through the hype and show you precisely how to realistically modernize your data infrastructure. We'll get into key steps and introduce you to Skyvia — the most comprehensive data integration platform that makes this process surprisingly simple. Skyvia What Is Data Infrastructure Modernization? What Is Data Infrastructure Modernization? Data infrastructure modernization represents upgrading and changing an organization's data systems, architecture, and practices to fit the demands of modern business operations. That often has to do with overcoming the limitations of the systems of yore holding back agility and innovation today. We refer to those monolithic databases, siloed data lakes, and brittle ETL processes that struggle to keep up with the volume, velocity, and variety of modern data. Modernization isn't about buzzing words chasing each other. It's to make the enterprise have a very strong, scalable, secure foundation for data-driven decision-making. It could be in the form of: Migration to the cloud: Gain scalability, cost-efficiency, and accessibility with cloud-native services. Adopting a microservices architecture: It is about the development of big monolithic systems into smaller, more manageable components. Implementing robust data governance: Ensures the quality of data, secures data, and complies with regulations such as GDPR for data privacy or HIPAA for healthcare data protection. Migration to the cloud : Gain scalability, cost-efficiency, and accessibility with cloud-native services. Migration to the cloud Adopting a microservices architecture : It is about the development of big monolithic systems into smaller, more manageable components. Adopting a microservices architecture Implementing robust data governance : Ensures the quality of data, secures data, and complies with regulations such as GDPR for data privacy or HIPAA for healthcare data protection. Implementing robust data governance Modernizing Your Data Infrastructure in Steps Modernizing Your Data Infrastructure in Steps Modernizing your data infrastructure requires a practical approach that ties directly to business goals and delivers measurable results. What follows is a very practical, step-by-step means of navigating this transformation effectively: 1. Set Clear Objectives and Goals 1. Set Clear Objectives and Goals Define the specific outcomes your organization aims to achieve through modernization. These objectives will serve as the foundation for your strategy and keep all stakeholders aligned. Is eliminating data silos the way to get more collaboration? Are you in need of real-time analytics to make quicker decisions? Is the objective to enhance operational efficiency through automation? Is eliminating data silos the way to get more collaboration? Are you in need of real-time analytics to make quicker decisions? Is the objective to enhance operational efficiency through automation? Translate these objectives into measurable targets to ensure accountability. For example: Improve data accuracy by 20% within six months. Automate 50% of manual data handling tasks within the next quarter. Improve data accuracy by 20% within six months. Automate 50% of manual data handling tasks within the next quarter. 2. Assess Your Existing Infrastructure for Shortcoming 2. Assess Your Existing Infrastructure for Shortcoming A comprehensive review of your current systems, tools, and workflows is necessary to help you understand where your infrastructure has failed. This should include: Mapping all data sources, methods of storage, and integration points. Identifying inefficiencies that include duplicated processes, outdated systems, or siloed data. Assessing data quality, completeness, and governance practices. Mapping all data sources, methods of storage, and integration points. Identifying inefficiencies that include duplicated processes, outdated systems, or siloed data. Assessing data quality, completeness, and governance practices. Apply this assessment to shed light on key areas for enhancement and focus efforts for the biggest impact moving forward with business operations. 3. Rank Initiatives by ROI 3. Rank Initiatives by ROI Not all modernization efforts are created equal, and it is critical to ensure that resources are focused on areas that will yield the highest value. To this end: Implementation Cost: How much up-front will be needed for the project? Difficulty and Timeline: Is it going to be realistic to deliver it within the given amount of time? Expected Benefits: Will it reduce costs, improve decision-making, or drive revenue growth? Implementation Cost: How much up-front will be needed for the project? Difficulty and Timeline: Is it going to be realistic to deliver it within the given amount of time? Expected Benefits: Will it reduce costs, improve decision-making, or drive revenue growth? Focus on short-term wins that meet immediate pain points but set up the prerequisite foundation for bigger, longer-term projects. For example, automating repetitive tasks like data imports can save time right away. Once streamlined, these processes make it easier to introduce more advanced solutions like predictive analytics. 4. Utilize Scalable Tools 4. Utilize Scalable Tools The tools you adopt will determine the success and scalability of the modernization effort. A modernized ecosystem typically requires tools in these categories: Data Integration Platforms: Tools that connect, transform, and synchronize data across systems. Cloud Platforms: Services like AWS, Azure, or Google Cloud to provide scalable and cost-efficient infrastructure. Data Storage Solutions: Modern databases and data warehouses such as Snowflake, BigQuery, or Amazon Redshift. Automation Platforms: Tools to automate data workflows, eliminate manual processes, and improve efficiency. Data Governance Tools: Solutions to ensure data security, compliance, and quality management. Data Integration Platforms: Tools that connect, transform, and synchronize data across systems. Cloud Platforms: Services like AWS, Azure, or Google Cloud to provide scalable and cost-efficient infrastructure. Data Storage Solutions: Modern databases and data warehouses such as Snowflake, BigQuery, or Amazon Redshift. Automation Platforms: Tools to automate data workflows, eliminate manual processes, and improve efficiency. Data Governance Tools: Solutions to ensure data security, compliance, and quality management. Choosing the right tools depends on your organization’s needs and scalability goals. For example, cloud-based platforms offer flexibility, while integration tools connect all your systems for a unified data environment. Why Skyvia? Why Skyvia? Skyvia is one such tool designed to simplify data integration and modernization of your data infrastructure. As a no-code cloud platform, it offers: An extensive library of 200+ connectors to unify data ecosystems effortlessly. Real-time integration capabilities to keep systems synchronized without delays. Powerful automation features to streamline repetitive workflows. An extensive library of 200+ connectors to unify data ecosystems effortlessly. Real-time integration capabilities to keep systems synchronized without delays. Powerful automation features to streamline repetitive workflows. With Skyvia, you can manage complex data operations without extensive technical expertise, making it a practical choice for businesses looking to modernize quickly and efficiently. 5. Implement and Monitor Success Using Key Metrics 5. Implement and Monitor Success Using Key Metrics Once implemented, track the performance of your data infrastructure using key metrics: Data Processing Speed: Measure how quickly your systems process data. Set up KPIs: Data processing speed, error rates, and system uptime could all be tracked to assess performance. Regular Reviews: Periodically assess to ensure that objectives are being achieved and revise the strategy if necessary. Data Processing Speed: Measure how quickly your systems process data. Set up KPIs: Data processing speed, error rates, and system uptime could all be tracked to assess performance. Regular Reviews: Periodically assess to ensure that objectives are being achieved and revise the strategy if necessary. Modernization is iterative. As your business evolves, so should your data infrastructure evolve with changing demands. Your data infrastructure should be flexible and scalable to grow alongside your business while adapting to future changes. Whether scaling up to meet increasing demands or optimizing for cost-efficiency, a well-designed system ensures you stay competitive and ready for tomorrow's opportunities. The Role of Skyvia in Modern Data Infrastructure The Role of Skyvia in Modern Data Infrastructure Modernizing data infrastructure requires tools that deliver both power and simplicity. Skyvia is a no-code cloud data integration platform that enables organizations to integrate, synchronize, and transfer data between systems with ease. Its versatility, intuitive design, and affordable pricing make it a trusted solution for businesses of all sizes. ETL and Reverse-ETL: Simplify Data Integration ETL and Reverse-ETL: Simplify Data Integration Skyvia excels in Extract, Transform, Load (ETL) and Reverse ETL , enabling seamless data movement between systems. This provides organizations with the capability to move data into a warehouse or synchronize these data back into operational tools without hassle. Extract, Transform, Load (ETL) Reverse ETL Case in Point: Teesing Case in Point: Teesing Teesing, a global supplier in the high-tech OEM market, was constrained by manual data import/export workflows, which consumed valuable time and introduced errors. By implementing Skyvia’s data integration capabilities, Teesing automated these processes, streamlining data transfers between their website and CRM system. The result? A significant reduction in time spent on data tasks, enhanced accuracy, and improved operational efficiency. Real-Time Data Synchronization Real-Time Data Synchronization Skyvia ensures that data across systems is updated in real time, allowing teams to access the most accurate information. Whether it’s sales data, financial reports, or operational metrics, synchronization eliminates delays that can hinder decision-making and business performance. Case in Point: Cirrus Insight Case in Point: Cirrus Insight It made the work of the CRM platform less efficient for Cirrus Insight because of the disconnection of systems. Skyvia helped them resolve this issue with its Salesforce-to-QuickBooks integration, allowing synchronization of data between the systems in real time; this greatly improved the accuracy of financial reporting and operational flexibility. The streamlined processes reduced delays and saved costs previously spent on custom integration solutions. 200+ Connectors for Seamless Integration 200+ Connectors for Seamless Integration With over 200 pre-built connectors, Skyvia supports integration across platforms like Salesforce, Snowflake, QuickBooks, Shopify, and more. These connectors simplify otherwise complex integrations, enabling business users to quickly unify data systems. At the same time, its advanced mapping capabilities meet the needs of technical experts handling more complex data workflows. Case in Point: NISO Case in Point: NISO NISO, a CFO services provider, needed to link MySQL databases with QuickBooks Online to scale its financial operations. Skyvia’s ready-to-use connectors enabled seamless data transfers between the platforms, automating processes that previously required manual intervention. This not only centralized their financial data but also allowed them to scale without introducing operational complexity. Automation Automation Skyvia goes beyond integration by enabling workflow automation to handle repetitive tasks like data migration and cleansing. For advanced analytics and insights, businesses can pair Skyvia with dedicated analytics tools to fully leverage their integrated data. Automation was key for Teesing, allowing them to eliminate manual data processes and redirect resources toward strategic priorities. Similarly, NISO leveraged Skyvia’s automation features to ensure consistent and accurate financial data synchronization, boosting scalability without additional overhead. Cost-Effective and Scalable Solutions Cost-Effective and Scalable Solutions Skyvia offers flexible pricing plans, making it accessible for startups and enterprises alike. Its scalability ensures the platform evolves alongside a business’s data needs without requiring significant reinvestment. Ease of Use for All Users Ease of Use for All Users With Skyvia, IT teams and non-technical users can seamlessly connect to the interfaces presented through a no-code, wizard-based interface. This democratizes data management, enabling collaboration across the organization and reducing dependence on IT for everyday tasks. Skyvia is way more than a tool; it's a fully integrated platform to empower organizations with the ability to overcome the challenges of legacy systems and build scalable, future-proof data infrastructures. This article was written by Natalia Polomkina, Product Marketing Manager at Skyvia. This article was written by Natalia Polomkina, Product Marketing Manager at Skyvia. This article was written by Natalia Polomkina , Product Marketing Manager at Skyvia. Natalia Polomkina
