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Appraisal of Transactional Data Through Visualisation for SMEs

Appraisal of Transactional Data Through Visualisation for SMEs

Wajid Khan, Siti Aishah Mohd Selamat, Manoharan Ramachandran
Copyright: © 2018 |Pages: 35
ISBN13: 9781522536284|ISBN10: 1522536280|EISBN13: 9781522536291
DOI: 10.4018/978-1-5225-3628-4.ch006
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MLA

Khan, Wajid, et al. "Appraisal of Transactional Data Through Visualisation for SMEs." E-Manufacturing and E-Service Strategies in Contemporary Organizations, edited by Norman Gwangwava and Michael Mutingi, IGI Global, 2018, pp. 119-153. https://doi.org/10.4018/978-1-5225-3628-4.ch006

APA

Khan, W., Selamat, S. A., & Ramachandran, M. (2018). Appraisal of Transactional Data Through Visualisation for SMEs. In N. Gwangwava & M. Mutingi (Eds.), E-Manufacturing and E-Service Strategies in Contemporary Organizations (pp. 119-153). IGI Global. https://doi.org/10.4018/978-1-5225-3628-4.ch006

Chicago

Khan, Wajid, Siti Aishah Mohd Selamat, and Manoharan Ramachandran. "Appraisal of Transactional Data Through Visualisation for SMEs." In E-Manufacturing and E-Service Strategies in Contemporary Organizations, edited by Norman Gwangwava and Michael Mutingi, 119-153. Hershey, PA: IGI Global, 2018. https://doi.org/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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