Big Data, Analytics And The Future Of Knowledge Management

Justin Fruehauf, Frederick Kohun, Robert Skovira and Tim Evans
Additional contact information
Justin Fruehauf: Robert Morris University , United States
Frederick Kohun: Robert Morris University , United States
Robert Skovira: Robert Morris University , United States
Tim Evans: Thomas, United States

from ToKnowPress

Abstract: “Big Data” became a part of the data science lexicon in the 1990s. Since then it has gained popularity as a buzz word. In conjunction with data analytics, big data is advertised as the strategic solution for successful endeavours. As of 2019 there is little evidence to suggest that big data and analytics play any role in the strategic decision making of most organizations. Investment in data analytics solutions designed to tackle big data remain popular. Is this another instance of the “utilitarian necessity” of IT as described by Nicholas Carr? Do organizations fee. Compelled to invest in data analytics tools simply because they fear that to neglect this technology would leave them behind their competition? In order for data analytics projects, particularly those addressing big data, to succeed an organization must have a strong foundational knowledge of itself and its industry. Revisiting knowledge management models from the past can help to generate this understanding and lead to success in analytic projects. Detailed, objective knowledge management models provide the foundation for a candid understanding of any organizations position within its field. Only with this understanding can “big data” and data analytics be parsed to provide key insights to steer beneficial actions. This paper uses a case study of a small manufacturing company and its use of knowledge management models to understand its role in industry and its ability to use “big data” analytics as a strategic advantage.

Keywords: Big Data; Analytics; Knowledge Management; innovation (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.toknowpress.net/ISBN/978-961-6914-25-3/papers/ML19-148.pdf full text (application/pdf)
http://www.toknowpress.net/ISBN/978-961-6914-25-3/MakeLearn2019.pdf Conference Programme (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tkp:mklp19:473

Access Statistics for this chapter

More chapters in Thriving on Future Education, Industry, Business and Society; Proceedings of the MakeLearn and TIIM International Conference 2019 from ToKnowPress
Bibliographic data for series maintained by Miha Jezovnik ().