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  1. What is data modernization? - IBM

    Data modernization is the process of updating and transforming data systems, infrastructure and practices to modern, cloud-based formats to enhance accessibility, security and business intelligence.

  2. What is Data Modernization? Benefits, Examples, Strategy & More!

    Nov 20, 2023 · Data modernization is the process of transforming and optimizing large volumes of accumulated data into a more accessible, usable, and valuable form to drive meaningful insights and …

  3. Data Modernization for Public Health | Data Modernization | CDC

    Data modernization is focused on improving public health data to make it more accessible, flexible, equitable, and usable for action. Transforming data today to protect health tomorrow.

  4. What is Data Modernization? Strategy, Benefits & Use Cases

    Apr 16, 2025 · Data modernization is the process of upgrading an organization’s data infrastructure, tools, and practices to enhance accessibility, security, and usability in today’s digital landscape.

  5. What is data modernization and why does it matter? | Ensono

    Data modernization is the process of optimizing an organization’s data infrastructure to meet the demands of modern workloads.

  6. What Is Data Modernization Strategy: Benefits & Examples

    Sep 3, 2025 · Data modernization is the strategic process of upgrading your organization's data infrastructure, tools, and practices, typically moving from legacy systems to modern, cloud-based …

  7. Data Modernization | Precisely

    Learn how to reduce friction in your data modernization strategy while keeping your data secure, reliable, and ready for what’s next.

  8. What is Data Modernization? A Complete Guide for 2025

    A complete 2025 guide to Data Modernization. Learn about strategy, challenges, tools, key trends like AI and data mesh, and how it improves business agility.

  9. Data Modernization - PHII

    What does data modernization look like in practice? These innovative stories collected from around the country highlight how some high-achieving states and jurisdictions approached their data …

  10. Data modernization requires identifying, cleaning, and transforming data, and upgrading the data infrastructure with modern, cloud-based technologies. This will entail rectifying data silos and …