Data Science in the Business Environment: Architecture, Process and Tools

Jing Lu

doi:10.1007/978-3-030-95502-1_22

Data Science in the Business Environment: Architecture, Process and Tools

Jing Lu

Digital Technologies

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Data science involves the collection, management, processing, analysis, visualisation and interpretation of huge amounts of data. It is a multi-disciplinary field that integrates systematic thinking, methodology, process and technology to develop intelligence with respect to real-world problems. This paper focuses on the business environment and identifies the components of data science forming a conceptual architecture before proposing a composite data-driven process model. Representative tools and techniques are applied to relevant case studies demonstrating innovation in undergraduate programme design, customer analytics and the marketing of insurance.

Original language	English
Title of host publication	Advanced Computing - 11th International Conference, IACC 2021
Editors	Deepak Garg, Sarangapani Jagannathan, Ankur Gupta, Lalit Garg, Suneet Gupta
Pages	279-293
Number of pages	15
Volume	1528
ISBN (Electronic)	978-3-030-95502-1
DOIs	https://doi.org/10.1007/978-3-030-95502-1_22
Publication status	Published - 8 Feb 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1528 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Keywords

Applied data science
business analytics
conceptual architecture
process modelling
knowledge discovery
innovative case studies
Process modelling
Business analytics
Knowledge discovery
Conceptual architecture
Innovative case studies

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10.1007/978-3-030-95502-1_22

Cite this

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Data Science in the Business Environment: Architecture, Process and Tools. / Lu, Jing.

Advanced Computing - 11th International Conference, IACC 2021. ed. / Deepak Garg; Sarangapani Jagannathan; Ankur Gupta; Lalit Garg; Suneet Gupta. Vol. 1528 2022. p. 279-293 (Communications in Computer and Information Science; Vol. 1528 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Data Science in the Business Environment: Architecture, Process and Tools

Abstract

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Keywords

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