https://doi.org/10.1177/2043886919899407
Journal of Information Technology
Teaching Cases
2020, Vol. 10(1) 29–34
© Association for Information
Technology Trust 2020
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DOI: 10.1177/2043886919899407
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Introduction
Small and medium enterprises (SMEs) are vital to national
economies worldwide because they increase employment
and innovation opportunities (Organisation for Economic
Co-operation and Development (OECD), 2017). Digitalization
is a promising option to enable SMEs to compete in increas-
ingly competitive businesses. Customer-driven decision-mak-
ing and the exponential advancement of information systems
and technology (IS&T), coupled with the traction data analyt-
ics (DA) is getting, encourage SMEs to adopt the technology.
Lack of resources and IS&T infrastructure are, however, typi-
cal challenges for SMEs considering using DA. For this rea-
son, many SMEs lag behind large companies in DA adoption.
To fully realize optimum benefits from DA implementation,
these challenges must be addressed. Multiple challenges typi-
cally relate to data, processes and management (Sivarajah
et al., 2017). To illustrate, a typical data challenge is related to
the ethical means of obtaining and using relevant data. Issues
with data processes add complexity to DA adoption. These
challenges include data cleansing, data analysis and model-
ling, and data interpretation. Organizational and management
issues further challenge DA implementation, such as data
governance and costs. Although the above challenges may
occur in both large and small companies, the latter might
encounter severe problems due to a lack of resources and
expertise. SMEs need to carefully analyse and decide how to
proceed with DA implementation to reap benefits from this
technology.
This case is of a real-world sports company based in
Singapore. The company, The Cage (short for We want to
be Footballers Pte Ltd (WWTBF Pte Ltd) and The Cage
Sports Park Pte Ltd), is an SME currently looking to
effectively analyse data to support its decision-making
process. Implementation issues, though, stand in its way.
By providing a real-world case of DA implementation in
an SME, this case aims to present practical problems stu-
dents would likely encounter in the workplace, and there-
fore, provides a comprehensive understanding of
real-world challenges and issues. This case expects stu-
dents to (1) understand The Cage’s business problems and
(2) recommend ways for The Cage to address its DA
implementation challenges.
Getting data analytics on
board at The Cage
Arif Perdana , Junaitha Gaffoor and Hwee Hoon Lee
Abstract
This case illustrates the challenges in implementing data analytics in a small and medium enterprise. A small and medium
enterprise in Singapore, The Cage, runs a sports facilities rental business that has adopted basic data analytics and
enjoyed the benefits data analytics offers. Since implementing enterprise resource planning in 2016 for their business
processes, it now has readily available financial and customer data. Using available data from its enterprise resource
planning system, The Cage now wants to incorporate more advanced data analytics into its decision-making process.
While The Cage acknowledges the impact of data analytics on its business, it encounters practical challenges in the data
lifecycle, namely, data discovery, data collection, analysis and modelling building, and data governance.
Keywords
Data analytics, small and medium enterprise, information systems adoption
Singapore Institute of Technology, Singapore
Corresponding author:
Arif Perdana, Design & Specialised Businesses Cluster, Singapore
Institute of Technology, 10 Dover Drive, Singapore 138683.
Email: Arif.Perdana@Singaporetech.edu.sg
899407TTC Journal of Information Technology Teaching CasesPerdana et al.
Teaching Case