Making Sense of Marketing Data: Some MIS Perspectives on the Analysis of Large Data Sets
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Summary
Some useful approaches here from the computer science and information systems fields for the analysis of large data sets, viz. good data organization and the use of flexible analysis tools, for making the analysis more tractable and user-friendly are reviewed.
- Type
- article
- Published
- 1998-03-01
- Cited by
- 4
- References
- 17
- OpenAlex
- https://openalex.org/W7097323
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:150683758
Keywords
Computer science, Data science, Business intelligence, Data collection, Information system
References
- Strategic database marketing
- Data Management: An Organizational Perspective
- The Marketing Information Revolution
- Interactive Marketing: Exploiting the Age of Addressability
- A Statistical Perspective on Knowledge Discovery in Databases
- Modern Database Management
- Semantic database modeling: survey, applications, and research issues
- INFER: An expert system for automatic analysis of scanner data
- A research agenda for making scanner data more useful to managers
- Conceptual Database Design: An Entity-Relationship Approach
- The entity-relationship model: toward a unified view of data
- Coverstory: Automated News Finding in Marketing
- A relational model of data for large shared data banks
- Fundamentals of Database Systems.
- Riding the marketing information wave
- A relational model of data for large shared data banks
- The entity-relationship model—toward a unified view of data
- An Introduction to Database Systems
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