DSC763: Customer Analytics / College of Computing, Informatics and Mathematics
There is a staggering amount of browsing data and buying patterns that can be found on online shop sites. Extracted customers’ data such as their preferences and navigations can be used to describe their past, present and future behaviours in relation to their purchasing decisions. This course will...
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| Format: | Teaching Resource |
| Language: | English |
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Universiti Teknologi MARA (UiTM)
2020
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| Online Access: | https://ir.uitm.edu.my/id/eprint/92459/1/92459.pdf https://ir.uitm.edu.my/id/eprint/92459/ https://aims.uitm.edu.my/ |
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| Summary: | There is a staggering amount of browsing data and buying patterns that can be found on online shop sites. Extracted customers’ data such as their preferences and navigations can be used to describe their past, present and future behaviours in relation to their purchasing decisions. This course will offer insight understanding into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices. By the end of this course, students will understand how data can be used to describe, explain, and predict customer behaviour. |
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