Bridging the Gap between Business Practice and Data Science Approaches

In data science and analytics, the driving force is not on how to perform analytics tasks or how to use advanced technology in analytics projects. Business problems and goals should always drive the overall approaches. Projects and applications in data science and analytics should serve business goals and help business decision making. In this paper, a case study that serves various directions in answering business questions is presented.

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Publication Details

Journal
Transactions on Engineering and Computing Sciences
Published
2025-03-08
DOI
https://doi.org/10.14738/tecs.1302.18289
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Bridging the Gap between Business Practice and Data Science Approaches

Jiangping Wang
1 citations
Transactions on Engineering and Computing Sciences
Big Data and Business Intelligence
2.28
article

Bridging the Gap between Business Practice and Data Science Approaches

Jiangping Wang
article en
1 citations

Abstract

In data science and analytics, the driving force is not on how to perform analytics tasks or how to use advanced technology in analytics projects. Business problems and goals should always drive the overall approaches. Projects and applications in data science and analytics should serve business goals and help business decision making. In this paper, a case study that serves various directions in answering business questions is presented.

Transactions on Engineering and Computing SciencesVol. 13(02)
Webster University (US)
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
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Bridging the Gap between Business Practice and Data Science Approaches — Jiangping Wang · Transactions on Engineering and Computing Sciences (2025) | TGRS Research Map | TGRS