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A Conceptual Modeling Framework for Business Analytics

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Conceptual Modeling (ER 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9974))

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Abstract

Data analytics is an essential element for success in modern enterprises. Nonetheless, to effectively design and implement analytics systems is a non-trivial task. This paper proposes a modeling framework (a set of metamodels and a set of design catalogues) for requirements analysis of data analytics systems. It consists of three complementary modeling views: business view, analytics design view, and data preparation view. These views are linked together and act as a bridge between enterprise strategies, analytics algorithms, and data preparation activities. The framework comes with a set of catalogues that codify and represent an organized body of business analytics design knowledge. The framework has been applied to three real-world case studies and findings are discussed.

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Notes

  1. 1.

    Actors are not shown here due to space limitations.

  2. 2.

    There were several instances of classification goal that each addressed a specific prediction period, such as 8, 16, 24 h. Each of the goals is connected to a different instance of the insight element. Due to space limitations, only one pair of analytics goal and insight is illustrated here.

  3. 3.

    In the first case study, the indicator Precision had highest priority which justified the choice of Decision Forest for the corresponding classification goal.

  4. 4.

    The company has a cross-platform data center management system that logs computer systems operations.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Toronto, Toronto, Canada

    Soroosh Nalchigar & Eric Yu

  2. Deloitte, Global Technology Services, Toronto, Canada

    Rajgopal Ramani

Authors
  1. Soroosh Nalchigar
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  2. Eric Yu
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  3. Rajgopal Ramani
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Corresponding author

Correspondence to Soroosh Nalchigar .

Editor information

Editors and Affiliations

  1. CEDRIC-CNAM & ESSEC Business School, Cergy-Pontoise, France

    Isabelle Comyn-Wattiau

  2. Kyoto University , Kyoto, Japan

    Katsumi Tanaka

  3. Drexel University , Philadelphia, Pennsylvania, USA

    Il-Yeol Song

  4. Nagoya University , Nagoya, Japan

    Shuichiro Yamamoto

  5. Tokyo Institute of Technology , Tokyo, Japan

    Motoshi Saeki

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Nalchigar, S., Yu, E., Ramani, R. (2016). A Conceptual Modeling Framework for Business Analytics. In: Comyn-Wattiau, I., Tanaka, K., Song, IY., Yamamoto, S., Saeki, M. (eds) Conceptual Modeling. ER 2016. Lecture Notes in Computer Science(), vol 9974. Springer, Cham. https://doi.org/10.1007/978-3-319-46397-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-46397-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46396-4

  • Online ISBN: 978-3-319-46397-1

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