From Business Intelligence to Data Science: A Decade of Evolution

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Author(s): Virginia M. Miori (Saint Joseph's University, USA), John Yi (Saint Joseph's University, USA), Rashmi Malhotra (Saint Joseph's University, USA)and Ronald K. Klimberg (Saint Joseph's University, USA)
Copyright: 2022
Pages: 20
Source title: Achieving Organizational Agility, Intelligence, and Resilience Through Information Systems
Source Author(s)/Editor(s): Hakikur Rahman (Ansted University Sustainability Research Institute, Malaysia)
DOI: 10.4018/978-1-7998-4799-1.ch008

Keywords: Business Information Systems / Business Science Reference / Knowledge Management and Library Science / Organizational Development

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Abstract

The use of information technology and decision support concepts at the operational business level were slow to take hold in the 20th century. In 2010, the authors documented the evolution and current state of the field of business intelligence and analytics (BIA). In the last decade, however, through the resurgence and mainstream use of artificial intelligence, machine learning algorithms, the development of inexpensive cloud-based mass storage, and the internet-of-things, business intelligence has evolved into data science. In this chapter, the authors trace this evolution across the diverse areas of data science and identify extremely useful advancements and best practices in the field.

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From Business Intelligence to Data Science: A Decade of Evolution

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