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From Requirements to Data Analytics Process: An Ontology-Based Approach

  • Madhushi BandaraEmail author
  • Ali Behnaz
  • Fethi A. Rabhi
  • Onur Demirors
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 342)

Abstract

Comprehensively describing data analytics requirements is becoming an integral part of developing enterprise information systems. It is a challenging task for analysts to completely elicit all requirements shared by the organization’s decision makers. With a multitude of data available from e-commerce sites, social media and data warehouses selecting the correct set of data and suitable techniques for an analysis itself is difficult and time-consuming. The reason is that analysts have to comprehend multiple dimensions such as existing analytics techniques, background knowledge in the domain of interest and the quality of available data. In this paper, we propose to use semantic models to represent different spheres of knowledge related to data analytics space and use them to assist in analytics requirements definition. By following this approach users can create a sound analytics requirements specification, linked with concepts from the operation domain, available data, analytics techniques and their implementations. Such requirements specifications can be used to drive the creation and management of analytics solutions, well aligned with organizational objectives. We demonstrate the capabilities of the proposed method by applying on a data analytics project for house price prediction.

Keywords

Analytics process Requirements Ontology 

Notes

Acknowledgments

We are grateful to Capsifi, especially Dr. Terry Roach, for sponsoring the research which led to this paper.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Madhushi Bandara
    • 1
    Email author
  • Ali Behnaz
    • 1
  • Fethi A. Rabhi
    • 1
  • Onur Demirors
    • 1
    • 2
  1. 1.University of New South WalesSydneyAustralia
  2. 2.Department of Computer EngineeringIzmir Institute of TechnologyIzmirTurkey

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