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Article
Big Data and Knowledge Management: A Possible Course to Combine Them Together
Author(s)
Sam Hijazi
Full-Text PDF XML 348 Views
DOI:10.17265/2161-6248/2019.03.002
Affiliation(s)
Texas Lutheran University, Texas, USA
ABSTRACT
Big data (BD) is the buzz
phrase these days. Everyone is talking about its potential, its volume, its
variety, and its velocity. Knowledge management (KM) has been around since the
mid-1990s. The goals of KM have been to
collect, store, categorize, mine, and process data into knowledge. The methods
of knowledge acquisition varied from
organizational culture to the next. Typical processes converted data into information through traditional
databases and then applied business intelligence and data mining methodologies to extract knowledge. With the
recent arrival of BD as a disruptive technology and the center of BD, this paper attempts to combine KM and BD fields
together. Both areas could help each
other tremendously. KM historically, when applied correctly, has helped
managers to make decisions faster and
better, prevented reinventing the wheel, preserved some talented processes
through keeping track of best
practices, and prompted innovation due to knowledge sharing and dissemination. BD deals with massive amount of data and
does not require a traditional database to be effective. BD has its tools and requirement that can be
enhanced through KM. The final aim of this paper is to recreate a model where
both BD and KM coexist. The author hopes with a better understanding of both fields to develop a new course where the
focus is a productive intersection of KM
and BD. To keep up with changing times, this paper will bring the needed awareness of these fields for information
systems and business students.
KEYWORDS
big data, knowledge management, model, knowledge, value, class design, introductory, learning, business
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