The Analytics Edge: Use of Analytics in University Libraries Side: 1 of 1
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Why did it happen?
to make prediction
both descriptive and
Advanced data analytics has been adopted by a number of business functions (Sesil
2014). The existing literature on analytics tends to commercial industry sectors such
as, multinational companies, finance, and supply chain management. Academic
library has an important role in student success. While the practical implications of
using analytics in enhancing library industry remains quite unfocussed.
Price and Promotion Analytics
Big Data Analytics
Supply Chain Analytics
Analytics for Financial Decision Making
Demand and Supply Analytics
Ethics and Law in Analytics
Analytics for the Classroom Teacher
Big Data Analytics in Healthcare
Business Analytics for Data-Driven Decision Making
What about Library data Analytics?
Q Technology is the product and
medium of human action
Institutional conditions influence
humans in their interaction with
Interaction with technology
influences the institutional
al Model of
Socially constructed not
Communities that make use of
Action and behaviour determine
Theory What Usefulness Questions to be
. Socially constructed not library is a social What is the impact
technology itself organization, staff of technology on
" communities that make are the community the library
use of the technology technology and the institution?
" Action and behaviour behaviours and
SCOT choices of user W
determine technology communities on this justification the
meaning technology shape theory on
the professional libraries?
" Technology is the
product of human action
" Technology is the
medium of human action
" Institutional conditions
influence humans in
their interaction with
" Interaction with
properties of an
There is a
and library staff
What is the impact
of technology on
What is the
- Identify relationship between analytics
and library decision making
- Validate LIS and technology theories in
- Set strategy as it affects libraries
Two theoretical concepts motivate of this study
Harper, LM & Oltmann, SM 2017, 'Big Data's Impact on Privacy for Librarians and Information
Professionals', Bulletin of the American Society for Information Science and Technology
(Online), vol. 43, no. 4, pp. 19-23.
Paul, A & Erdelez, S 2013, 'Implementation and Use of Web Analytics for Academic Library
Websites', World Digital Libraries- An International Journal, vol. 6, no. 2, pp. 115-132.
Sesil, JCa 2014, Applying advanced analytics to HR management decisions : methods for
selection, developing incentives, and improving collaboration, Pearson Education, Upper
Saddle River, New Jersey.
Showers, B (ed.) 2015, Library Analytics and Metrics: Using data to drive decisions and
services, Facet Publishing.
Wang, Z 2016, If knowledge is power, then big data rules: who resists the analytics revolution
and what limits organizational performance?, thesis.
Zetterlund, B 2016, Big Data and libraries: getting the most from your library data, Axiell,
viewed September 23,, <http://www.axiell.co.uk/getting-the-most-from-your-library-data/>.
In recent years university libraries have adopted evolving based data driven
approaches (Harper & Oltmann 2017). Literature suggests that using analytics
is one of the most powerful tools to construct librarianship practice, strategies
and framework (McDonald 2017; Paul & Erdelez 2013; Showers 2014). The
existing literature indicates, there is a need for using analytics to support
decision-making for multiple operational services (Wang, Z 2016).
This study will explore:
How does analytics influence library decision making within a university
" The study will add to the existing body of knowledge on the role of analytics in library
operational decision making.
" The study is timely as libraries continue to meet the challenge of service justification
and having a better understanding of how analytics can support such justification is
" The results will help library decision makers in understanding the implications of
* It will also help in better meeting the actual needs of using analytics out of its vast
functionalities and identifies an analytics based decision making.
" The outcome will clearly identify collaboration among decision makers and data
analysts to enhance the effective utilization of analytics in decision making.
Data doesn't lie Libraries are 8-
(Zetterlund 10 years
Our future data is a
will be data big data
Analytics is be added into
still existing method
challenging for decision
Document Semi-Structured Meeting
analysis interview Observation
Unstructured data NVivo
0 43 university libraries in Australia
* Data from nine Victorian university libraries
* Documents are publically accessible
* Contact details of interviewees are publically accessible
* Invitation was sent to each of the university librarians with PICSF and data
collection is going on
* This study is using the purposive and convenience sampling
* All interviews are audio tape recorded
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Roy, Prodip. The Analytics Edge: Use of Analytics in University Libraries, poster, November 9, 2018; (https://digital.library.unt.edu/ark:/67531/metadc1616623/m1/1/: accessed July 28, 2021), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.