Modernization: Moving From Data Integration to Interoperability

New EMA Research Characterizes Modern Data Practices


Digital transformation is producing massive new data and pushing data consumption requirements to real time. Mobile, SaaS, and IoT expansion are testing the boundaries of legacy technology. The increase in the speed of insight-driven business requires data feeds from transactions, applications, APIs, service providers, data providers, and devices of every kind. Complex ecosystems like supply chains, social networks, and healthcare take integration push requirements even further.

The result is a race among vendors to shift from data integration to interoperability. Traditional platforms like data integration, messaging, application integration, and streaming data platforms, are expanding to embrace the change. In addition, the market is producing new categories like data preparation, integration as a service, cloud integration, and ecosystem integration.

Join John Santaferraro, research director at leading IT research firm Enterprise Management Associates (EMA) to get insights into this new research, including:

  • Best practices for your modernization journey
  • Priorities for the selection of next-generation data management tools
  • Potential for the automation of time-consuming data preparation activities
  • Trends in the management of complex, multidirectional data pipelines
  • Future directions for the interoperability of hybrid data ecosystems


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John Santaferraro
Research Director, EMA