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Study on Design of Weaken Learning Costs for Business Intelligence Data Platforms

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1213))

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Abstract

As enterprise data management develops, business intelligence systems have obtained prevalence in innovative industries. It has proved to provide a complete set of solutions for enterprise data management. However, it features a series of obstacles requiring high learning costs. To overcome this, the paper integrates four elements of learning costs and proposes a user learning cost weakening model from the perspective of applied behavior analysis. Outcomes from the research suggest new ideas and strategies for reducing user learning costs for complicated enterprise-level data products.

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Author information

Authors and Affiliations

  1. School of Design, Hunan University, Changsha, China

    Yao Wang & Jun Zhang

  2. Royal College of Arts, London, UK

    Renjie Yang

  3. University of Twente, Enschede, The Netherlands

    Chen Mao

Authors
  1. Yao Wang
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  2. Renjie Yang
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  3. Chen Mao
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  4. Jun Zhang
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Corresponding author

Correspondence to Yao Wang .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Wang, Y., Yang, R., Mao, C., Zhang, J. (2021). Study on Design of Weaken Learning Costs for Business Intelligence Data Platforms. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_40

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