Beyond technology: Management challenges in the Big Data era

The ability of organizations to produce, collect, manage, analyze, and transform data has increased rapidly over the past decade (Delen & Zolbanin, 2018). This has resulted in significant new challenges regarding how data can be leveraged for improving business decisions and how this new scenar...

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Bibliographic Details
Main Authors: Eduardo de Rezende Francisco, José Luiz Kugler, Soong Moon Kang, Ricardo Silva, Peter Alexander Whigham
Format: Article
Language:English
Published: Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo 2019-12-01
Series:RAE: Revista de Administração de Empresas
Online Access:https://bibliotecadigital.fgv.br/ojs/index.php/rae/article/view/80770
Description
Summary:The ability of organizations to produce, collect, manage, analyze, and transform data has increased rapidly over the past decade (Delen & Zolbanin, 2018). This has resulted in significant new challenges regarding how data can be leveraged for improving business decisions and how this new scenario changes business processes and operations (Vidgen, Shaw, & Grant, 2017). The widespread adoption of advanced analytical methods (e.g., machine learning) has attracted significant interest (Gupta, Deokar, Iyer, Sharda, & Schrader, 2018; Vassakis, Petrakis, & Kopanakis, 2018) particularly because the required data storage and methods can be accessed remotely through web-based interfaces such as cloud services. This has resulted in an increased belief that businesses must actively engage with this technology to remain competitive. However, this Red Queen scenario comes at a cost as collecting, curating, and managing large datasets requires expertise and dedicated staff, often consuming resources that do not contribute to core business activities. Consider the fact that there is an increasing role for data scientists and data engineers, among others, within organizations (Davenport & Patil, 2012). Roles such as Chief Data Officer (CDO) and Chief Analytics Officer (CAO) are now commonplace within most organizations.
ISSN:0034-7590
2178-938X