A Data-driven Framework for Business Analytics in the Context of Big Data

Jing Lu

doi:10.1007/978-3-030-00063-9_32

A Data-driven Framework for Business Analytics in the Context of Big Data

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Research output: Chapter in Book/Report/Conference proceeding › Paper published in a conference proceedings › peer-review

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Abstract

A vast amount of complex data has been generated in every aspect of business and this enables support for decision making through information processing and knowledge extraction. The growing amount of data challenges traditional methods of data analysis and this has led to the increasing use of emerging technologies. A data-driven framework is therefore proposed in this paper as a process to look at data and derive insights in a procedural manner. Key components within the framework are data pre-processing and integration together with data modelling and business intelligence – the corresponding methods and technology are discussed and evaluated in the context of big data. Real-world examples in health informatics and marketing have been used to illustrate the application of contemporary tools – in particular using data mining and statistical techniques, machine learning algorithms and visual analytics.

Original language	English
Title of host publication	New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings
Subtitle of host publication	Current Trends in contemporary Information Systems and their Architectures workshop
Editors	András Benczúr, Bernhard Thalheim, Tomáš Horváth, Silvia Chiusano, Tania Cerquitelli, Csaba Sidló, Peter Z. Revesz
Place of Publication	Switzerland
Pages	339-351
Number of pages	13
Volume	909
ISBN (Electronic)	978-3-030-00063-9
DOIs	https://doi.org/10.1007/978-3-030-00063-9_32
Publication status	Published - 1 Sep 2018

Publication series

Name	Communications in Computer and Information Science
Volume	909
ISSN (Print)	1865-0929

Keywords

business analytics; conceptual modelling; data pre-processing; information visualisation; data mining; business intelligence; analytical tools; big data applications; decision support
Conceptual modelling
Big data applications
Business analytics
Analytical tools
Information visualisation
Data pre-processing
Business intelligence
Data mining
Decision support

Access to Document

10.1007/978-3-030-00063-9_32

315607_Lu_DataDrivenFramework_originalFinal published version, 1.12 MBLicence: CC BY-NC-ND

Cite this

Lu, J. (2018). A Data-driven Framework for Business Analytics in the Context of Big Data. In A. Benczúr, B. Thalheim, T. Horváth, S. Chiusano, T. Cerquitelli, C. Sidló, & P. Z. Revesz (Eds.), New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings: Current Trends in contemporary Information Systems and their Architectures workshop (Vol. 909, pp. 339-351). (Communications in Computer and Information Science; Vol. 909).. https://doi.org/10.1007/978-3-030-00063-9_32

Lu, Jing. / A Data-driven Framework for Business Analytics in the Context of Big Data. New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings: Current Trends in contemporary Information Systems and their Architectures workshop. editor / András Benczúr ; Bernhard Thalheim ; Tomáš Horváth ; Silvia Chiusano ; Tania Cerquitelli ; Csaba Sidló ; Peter Z. Revesz. Vol. 909 Switzerland, 2018. pp. 339-351 (Communications in Computer and Information Science).

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title = "A Data-driven Framework for Business Analytics in the Context of Big Data",

abstract = "A vast amount of complex data has been generated in every aspect of business and this enables support for decision making through information processing and knowledge extraction. The growing amount of data challenges traditional methods of data analysis and this has led to the increasing use of emerging technologies. A data-driven framework is therefore proposed in this paper as a process to look at data and derive insights in a procedural manner. Key components within the framework are data pre-processing and integration together with data modelling and business intelligence – the corresponding methods and technology are discussed and evaluated in the context of big data. Real-world examples in health informatics and marketing have been used to illustrate the application of contemporary tools – in particular using data mining and statistical techniques, machine learning algorithms and visual analytics.",

keywords = "business analytics; conceptual modelling; data pre-processing; information visualisation; data mining; business intelligence; analytical tools; big data applications; decision support, Conceptual modelling, Big data applications, Business analytics, Analytical tools, Information visualisation, Data pre-processing, Business intelligence, Data mining, Decision support",

author = "Jing Lu",

year = "2018",

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Lu, J 2018, A Data-driven Framework for Business Analytics in the Context of Big Data. in A Benczúr, B Thalheim, T Horváth, S Chiusano, T Cerquitelli, C Sidló & PZ Revesz (eds), New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings: Current Trends in contemporary Information Systems and their Architectures workshop. vol. 909, Communications in Computer and Information Science, vol. 909, Switzerland, pp. 339-351. https://doi.org/10.1007/978-3-030-00063-9_32

A Data-driven Framework for Business Analytics in the Context of Big Data. / Lu, Jing.

New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings: Current Trends in contemporary Information Systems and their Architectures workshop. ed. / András Benczúr; Bernhard Thalheim; Tomáš Horváth; Silvia Chiusano; Tania Cerquitelli; Csaba Sidló; Peter Z. Revesz. Vol. 909 Switzerland, 2018. p. 339-351 (Communications in Computer and Information Science; Vol. 909).

Research output: Chapter in Book/Report/Conference proceeding › Paper published in a conference proceedings › peer-review

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Lu J. A Data-driven Framework for Business Analytics in the Context of Big Data. In Benczúr A, Thalheim B, Horváth T, Chiusano S, Cerquitelli T, Sidló C, Revesz PZ, editors, New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND, 2018, Proceedings: Current Trends in contemporary Information Systems and their Architectures workshop. Vol. 909. Switzerland. 2018. p. 339-351. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-00063-9_32