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Data warehouse design to support customer relationship management analyses

Published: 12 November 2004 Publication History

Abstract

CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining, and Data Warehousing in order to support the organization's decision-making process to retain long-term and profitable relationships with its customers. In this paper, we first present the design implications that CRM poses to data warehousing, and then propose a robust multidimensional starter model that supports CRM analyses. We then present sample CRM queries, test our starter model using those queries and define two measures (% success ratio and CRM suitability ratio) by which CRM models can be evaluated. We finally introduce a preliminary heuristic for designing data warehouses to support CRM analyses. Our study shows that our starter model can be used to analyze various profitability analyses such as customer profitability analysis, market profitability analysis, product profitability analysis, and channel profitability analysis.

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    cover image ACM Conferences
    DOLAP '04: Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
    November 2004
    130 pages
    ISBN:1581139772
    DOI:10.1145/1031763
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 November 2004

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    Author Tags

    1. customer relationship management
    2. data warehouse

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    CIKM04: Conference on Information and Knowledge Management
    November 12 - 13, 2004
    DC, Washington, USA

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    View all
    • (2019)Elector Relationship Management: Concepts, Practices and Technological SupportAdvanced Intelligent Systems for Sustainable Development (AI2SD’2019)10.1007/978-3-030-33103-0_12(118-126)Online publication date: 12-Oct-2019
    • (2016)Some considerations on the implementation of OLAP technology in small and middle companiesIMK-14 - Istrazivanje i razvoj10.5937/IMK1602037N22:4(37-41)Online publication date: 2016
    • (2015)An Empirical Study on Performance Measures for Online AdvertisingProceedings of the 2015 12th International Conference on Information Technology - New Generations10.1109/ITNG.2015.12(38-43)Online publication date: 13-Apr-2015
    • (2013)Developing an Associative Keyword Space of the Data Mining Literature through Latent Semantic AnalysisData Mining Methods and Applications10.1201/b15783-18(255-293)Online publication date: 17-Oct-2013
    • (2012)A service oriented approach to Business Intelligence in Telecoms industryTelematics and Informatics10.1016/j.tele.2012.01.00429:3(273-285)Online publication date: Aug-2012
    • (2007)A taxonomy of customer relationship management analyses for data warehousingTutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 8310.5555/1386957.1386972(97-102)Online publication date: 1-Nov-2007
    • (2007)Individual Privacy and Organizational Privacy in Business AnalyticsProceedings of the 40th Annual Hawaii International Conference on System Sciences10.1109/HICSS.2007.268Online publication date: 3-Jan-2007
    • (2006)Triple-driven data modeling methodology in data warehousingProceedings of the 9th ACM international workshop on Data warehousing and OLAP10.1145/1183512.1183524(59-66)Online publication date: 10-Nov-2006
    • (2006)Championing of an LTV model at LTCACM SIGKDD Explorations Newsletter10.1145/1147234.11472398:1(27-32)Online publication date: 1-Jun-2006
    • (2005)CRM Systems Used for Targeting MarketProceedings of the IEEE International Conference on e-Business Engineering10.1109/ICEBE.2005.46(183-186)Online publication date: 12-Oct-2005

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