Organizational considerations initiating a big data and analytics implementation
| Date | 08 August 2016 |
| DOI | https://doi.org/10.1108/DLP-05-2016-0013 |
| Published date | 08 August 2016 |
| Pages | 137-141 |
| Author | H. Frank Cervone |
| Subject Matter | Library & information science,Librarianship/library management,Library technology,Records management & preservation,Information repositories |
MANAGING DIGITAL LIBRARIES: THE
VIEW FROM 30,000 FEET
Organizational considerations
initiating a big data and
analytics implementation
H. Frank Cervone
School of Public Health, University of Illinois at Chicago,
Chicago, Illinois, USA
Abstract
Purpose – Organizations are beginning to realize the potential benets of big data and harnessing all of the
data they are creating. However, a major impediment for many organizations is understanding where to start
in big data and analytics implementation. In many respects, starting a successful implementation is not
much different from any other project managed within the organization. The major stumbling block is
knowing what questions to ask to get things going. This paper aims to help libraries and information
organizations that are considering big data and analytics implementation to begin their journey by following
a checklist of eight aspects to be considered in the development of a big data and analytics strategy.
Design/methodology/approach – The eight aspects to consider in big data and analytics
implementation were developed using a combination of existing project management common
knowledge, consultant recommendations and real-life experiences.
Findings – Organizations considering big data and analytics implementation need to explore aspects
related to the data they have, what organizational problems they are trying to solve, how data governance
will work in the new environment, as well as how they will dene success in terms of their implementation.
These are in addition to the technical issues one would normally expect in a systems implementation.
Originality/value – While there have been many articles written about the implementation of big
data and analytics in organizations, most of these focus on technical issues rather than managerial and
organizational concerns. In addition, none of these other articles have been from the perspective of
library and information science. In this article, the focus is specically on how information professionals
may approach this problem.
Keywords Big data, Analytics, Analytics project implementation,
Big data business concerns, Big data project implementation,
Organizational issues related to big data and analytics in the information professions
Paper type Viewpoint
As the amount of data being generated continues to grow exponentially (CSC, 2012),
more and more organizations are beginning to realize the potential benets of
harnessing all of the data they are creating. Traditionally, most of the data created
within organizations has been the result of intentional, transaction-based systems.
However, today, a far greater amount of data is generated as a byproduct of various
activities that are not transactional in nature. This includes such things as text streams
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/2059-5816.htm
Big data and
analytics
implementation
137
Received 9 May 2016
Accepted 9 May 2016
DigitalLibrary Perspectives
Vol.32 No. 3, 2016
pp.137-141
©Emerald Group Publishing Limited
2059-5816
DOI 10.1108/DLP-05-2016-0013
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