Introduction to Modern Survey Analytics
Walter R. Paczkowski
Additional contact information
Walter R. Paczkowski: Data Analytics Corp.
Chapter Chapter 1 in Modern Survey Analysis, 2022, pp 1-34 from Springer
Abstract:
Abstract There are two things, it is often said, that you cannot escape: death and taxes. This is too narrow because there is a third: surveys. You are inundated daily by surveys of all kinds that cover both the private and public spheres of your life. In the private sphere, there are product surveys designed to learn what you buy, use, have, would like to have, and uncover what you believe is right and wrong about existing products. They are also used to determine the optimal marketing mix that consists of the right product, placement, promotion, and pricing combination to effectively sell products. They are further used to segment the market recognizing that one marketing mix does not equally apply to all customers. There are surveys used to gauge how well the producers of these products perform in all aspects of making, selling, and supporting their products. And there are surveys internal to those producers to help business managers determine if their employees are happy with their jobs and if they have any ideas for making processes more efficient or have suggestions and advice regarding new reorganization efforts and management changes.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-76267-4_1
Ordering information: This item can be ordered from
http://www.springer.com/9783030762674
DOI: 10.1007/978-3-030-76267-4_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().