IS480 Team wiki: 2018T1 analyteaka projectscope
Revision as of 17:21, 17 June 2018 by Jeryl.soh.2015 (talk | contribs)
Customer categorization | Based on the historical sales data provided by Scanteak, we are going to work out the customers’ race (from name), gender (from name), age (from NRIC), income level (based on their housing district), and if they are return customers (based on the past transaction records). |
Customer profiling | Moving forward from customer categorization, which isolates various identifiable traits (age, race, gender etc.), we are going to generate several profiles/personas based on a combination of identifiable traits.
Examples of descriptive analytics would include:
Examples of business questions that will be answered:
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Part 1 | This module is responsible for providing descriptive analytics for different products and their respective categories. It will provide the foundation for predictive analytics (e.g. recommended product and quantity allocation for each store).
Examples of descriptive analytics would include:
Examples of business questions that will be answered:
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Part 2 | This module is responsible for providing descriptive analytics for different stores and their respective locations. It will provide the foundation for predictive analytics (e.g. products to be recommended to customers of a specific store).
Examples of descriptive analytics would include:
Examples of business questions that will be answered:
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