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AHP Approach for Selecting Adequate Big Data Analytics Platform

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Intelligent Systems Design and Applications (ISDA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 418))

Abstract

A big data analytics (BDA) platform is a vital investment that may major impact a company's competitiveness and performance in the future. Based on the analytic hierarchy approach (AHP), this study offers a thorough methodology for identifying an appropriate BDA platform. The framework may be used to create BDA selection objectives in a systematic way to support an organization's business goals and strategies, identify important traits, and offer a consistent evaluation standard for group decision-making. Simpleness, rationality, comprehensibility, excellent computing efficiency, and the ability to assess each alternative's relative performance in a simple mathematical form are all characteristics of the AHP techniques. The model is tested by comparing seven BDA platforms.

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Author information

Authors and Affiliations

  1. Laboratoire Ingénierie Scientifique des Organisations (ISO), Université Hassan II- ENCG Casablanca-Maroc, Casablanca, Morocco

    Naima EL Haoud & Oumaima Hali

Authors
  1. Naima EL Haoud
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  2. Oumaima Hali
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  3. Institut für Wirtschaftsinformatik, Fachhochschule Nordwestschweiz, Olten, Switzerland

    Thomas Hanne

  4. Department of Computer Science and information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Federal University of Bahia, Ondina, Brazil

    Tatiane Nogueira Rios

  6. Nantong University, Nantong Shi, Jiangsu, China

    Weiping Ding

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EL Haoud, N., Hali, O. (2022). AHP Approach for Selecting Adequate Big Data Analytics Platform. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_62

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