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In today’s data-driven world, businesses increasingly rely on analytics to make informed decisions. However, designing and deploying analytics solutions can be a complex and time-consuming process. In this paper, we present a framework for Autonomous Analytics as a Service (AAaaS) that simplifies the development of data-driven applications for various business by automating the design, configuration, execution, and deployment of analytics pipelines. The proposed framework enables users to define custom analyses using an interoperable interface, store and manage algorithms and models, process diverse data sources, and provide analysis results. The framework was validated in five distinct use cases with various data sources, interfaces, ML algorithms, and user interfaces.

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Autonomous Analytics as a Service: From Vision to Action

  • 会议论文

  • 发表日期：

    2025年

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  • Katerina Lepenioti,
  • Mattheos Fikardos,
  • Alexandros Bousdekis,
  • Dimitris Apostolou,
  • Gregoris Mentzas

摘要

In today’s data-driven world, businesses increasingly rely on analytics to make informed decisions. However, designing and deploying analytics solutions can be a complex and time-consuming process. In this paper, we present a framework for Autonomous Analytics as a Service (AAaaS) that simplifies the development of data-driven applications for various business by automating the design, configuration, execution, and deployment of analytics pipelines. The proposed framework enables users to define custom analyses using an interoperable interface, store and manage algorithms and models, process diverse data sources, and provide analysis results. The framework was validated in five distinct use cases with various data sources, interfaces, ML algorithms, and user interfaces.