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A Systematic Bibliometric Literature Review on Data Science in Marketing

A Systematic Bibliometric Literature Review on Data Science in Marketing
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Author(s): Albérico Travassos Rosário (GOVCOPP, IADE, Universidade Europeia, Portugal)
Copyright: 2023
Pages: 33
Source title: Enhancing Business Communications and Collaboration Through Data Science Applications
Source Author(s)/Editor(s): Nuno Geada (ISCTE - University Institute of Lisbon, Portugal)and George Leal Jamil (Informações em Rede Consultoria e Treinamento, Brazil)
DOI: 10.4018/978-1-6684-6786-2.ch003

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Abstract

Data science in marketing has become critical in gaining sustained competitive advantage in a rapidly changing business environment. It involves using advanced analytics and scientific principles to extract valuable information from large volumes of data gathered from multiple sources, such as social media platforms. There are multiple benefits to using data science in marketing, including proper data-based planning, enhanced customization, enhanced forecasting through predictive analytics, effective ROI measuring, and improved pricing models. The research explains how companies can turn the potential and opportunities of these advanced analytics techniques into real company performance in a competitive marketing environment. This research aims to explore how firms can use marketing analytics and big data to improve capabilities and performance. Specifically, the study argues that big data and marketing analytics can be used to extract valuable and meaningful marketing information and insights that can be integrated to improve marketing effectiveness and performance.

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