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- W330198304 abstract "Marketing data sets often have many variables—many dimensions—and it is advantageous to reduce these to smaller sets of variables to consider. For instance, we might have many items on a consumer survey that reflect a smaller number of underlying concepts such as customer satisfaction with a service, category leadership for a brand, or luxury for a product. If we can reduce the data to its underlying dimensions, we can more clearly identify the relationships among concepts." @default.
- W330198304 created "2016-06-24" @default.
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- W330198304 date "2015-01-01" @default.
- W330198304 modified "2023-09-23" @default.
- W330198304 title "Reducing Data Complexity" @default.
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- W330198304 doi "https://doi.org/10.1007/978-3-319-14436-8_8" @default.
- W330198304 hasPublicationYear "2015" @default.
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