Article

The 4 Characteristics of Robust Analytics

Posted June 22, 2021 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
robust
The authors look at how to achieve robust analytics through four lenses. They begin by identifying effectiveness as the first hallmark, echoing the previous critical objective around finding an important business decision to be solved in order to deliver relevant value. They describe efficiency as the next critical element. The authors' third criteria for robust analytics is around minimizing risk by monitoring threats and opportunities in both internal and external environments. Finally, they describe ethics as the fourth tenet of robust analytics.
About The Author
Manjul Gupta
Manjul Gupta is Assistant Professor in the Department of Information Systems and Business Analytics in the College of Business at Florida International University. Dr. Gupta's research focuses on the cross-cultural issues in a variety of technology-driven phenomena, such as computer-mediated communication, blockchain, big data, artificial intelligence, telemedicine, the sharing economy, and social networks. He has been published in several… Read More
Carlos Parra
Carlos M. Parra is Clinical Professor in the Department of Information Systems and Business Analytics in the College of Business at Florida International University (FIU). Dr. Parra works on qualitative information systems research, including capability emergence, digital communities, and culture studies; neuro-economics, specifically exploring links between neural activation, self-reported measures, lab-task performance, and real-life behaviors… Read More
Brian Mennecke
Brian E. Mennecke was a Full Professor of Management Information Systems at Iowa State University. At the age of 56, he passed away unexpectedly in a boating accident. Dr. Mennecke’s research interests included collaboration and collaborative systems, the use of virtual worlds for collaboration and teaching, mobile and e-commerce, radio frequency ID (RFID), biometrics, spatial technologies and location-intelligence systems, and data… Read More
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