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Appraisal of Transactional Data Through Visualisation for SMEs
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Author(s): Wajid Khan (Bournemouth University, UK), Siti Aishah Mohd Selamat (Bournemouth University, UK)and Manoharan Ramachandran (Bournemouth University, UK)
Copyright: 2018
Pages: 35
Source title:
E-Manufacturing and E-Service Strategies in Contemporary Organizations
Source Author(s)/Editor(s): Norman Gwangwava (Botswana International University of Science and Technology, Botswana)and Michael Mutingi (Namibia University of Science and Technology, Namibia)
DOI: 10.4018/978-1-5225-3628-4.ch006
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Abstract
E-commerce has proven to play a pivotal role in the economy growth. One of the key e-commerce functions is the collection of the vast amount of useful transactional data to help businesses in understanding their consumers' behaviour. With the rapid and large volume of data collected, it is posing a great challenge for businesses to analyse the data on a day-to-day basis. The key issue is not in the generation or collection of data; it is in the manipulation of the collected data to churn out new and insightful information. Information visualisation is an effective tool in converting data into interactive interfaces to unearth hidden trends. It provides a platform to explore the data in a more rapid and intuitive approach. There are several existing techniques to analyse multidimensional data. This chapter seeks to introduce a comprehensive and robust visualisation model and framework for adoption. The visualisation model consists of four major layers, which include acquisition and data analysis, data representation, user and computer interaction, and result storage.
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