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https://www.intechopen.com/books/advances-in-data-mining-knowledge-discovery-and-applications/improving-decision-support-systems-with-data-mining-techniques-
1.3. The process of developing a DSS using data mining techniques. Developing Decision Support Systems involves time, high-costs and human resources efforts and the success of the system can be affected by many risks like: system design, data quality, and technology obsolescence.Cited by: 14
http://www.nyu.edu/classes/jcf/g22.3033-002/slides/session2/BuildingDataCubesAndMiningThem.pdf
6 Building Data Cubes Using Analyses Manager Scenario: Imagine that you are a database administrator working for the FoodMart corporation. FoodMart is a large grocery store chain with sales in the United States, Mexico, and Canada. The marketing department wants to analyze all of the sales by products and customers that were made
https://www.sciencedirect.com/science/article/pii/S0167923600001238
Current emphasis on customer relationship management makes the marketing function an ideal application area to greatly benefit from the use of data mining tools for decision support. A systematic methodology that uses data mining and knowledge management techniques is proposed to manage the marketing knowledge and support marketing decisions.Cited by: 839
https://www.sciencedirect.com/science/article/pii/S0160791X02000386
Data mining techniques are the result of a long research and product development process. The origin of data mining lies with the first storage of data on computers, continues with improvements in data access, until today technology allows users to navigate through data in real time.Cited by: 513
http://www.ijcsit.com/docs/Volume%204/Vol4Issue6/ijcsit2013040655.pdf
Data warehousing and data mining provide the right foundation for building decision support and executive information system tools which help to measure the progressing speed of organization toward its goal. Data warehousing and data mining provide a technology that enables the user or decision …
https://quizlet.com/35459994/marketing-chapter-4-flash-cards/
Information that can be useful in marketing decision making is available in the form of external databases, which can be purchased/acquired. Marketing Decision Support System (MDSS) The data, analysis software, and interactive software that allow managers to conduct analyses and find the information they need.
https://arxiv.org/pdf/1310.8462
Keywords: Marketing, data mining, decision tree, clustering. 1. Introduction Data mining, as we use the term, is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. the goal of data mining is to allow a corporation to improve its marketing, sales, and customer support operations through a ...
https://www.slideshare.net/rushabhs002/data-mining-in-marketing-72508089
Feb 23, 2017 · Data Mining in Marketing.. • The 4Ps is one way of the best way of defining the marketing: –Product (or Service) –Price –Place –Promotion 8. Benefits Using Data Mining in Marketing.. • Predict future trends • customer purchase habits • Help with decision making • Improve company revenue and lower costs • Market basket ...
https://quizlet.com/69107521/marketing-research-chapters-1-4-flash-cards/
Marketing Decision Support System (DSS) 4. Marketing Research. ... - Primary data can be accessed through three main choices: a) Have a person ask questions b) Use computer-assisted or directed questioning ... - Data mining = seeking trends or patterns -Text mining = collect data from media
http://www.ijettjournal.org/Special%20issue/NCEITCS-2017/NCEITCS-132.pdf
Data mining Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers and develop more effective marketing strategies as well as increase sales and decrease costs. Data mining depends on
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