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Information About Data Mining And Knowledge Discovery

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Table of Contents
1.0 Introduction 3
2.0 Discussion 4
2.1 Background information regarding data mining and knowledge discovery 4
2.2 Impact of the technology on the use of information at Di Stefano cafe 6
2.3 Impact of the technology on the managers 6
2.4 Business strategy implications associated with the technology 7
2.5 Data mining simplified model for knowledge discovery based on OLAP analysis 8
3.0 Conclusions and recommendations 15

Executive summary This report focuses on the various advantages associated with the adoption and implementation of data warehousing and data mining technologies at Di Stefano cafe. Specifically, the adoption of data mining and data warehousing technologies at Di Stefano cafe implies that the managers need extra training on the effective use of the technologies; the cafe will utilize the consumer information to discover knowledge regarding consumption and spending patterns, the consumer data will be utilized in accordance with the stipulated guidelines to ensure data integrity, availability, confidentiality and privacy, and that the use of the technologies will give Di Stefano cafe a competitive advantage in terms of value co-creation and differentiated products. However, in order to effectively leverage on the benefits associated with the data mining and data warehousing technologies, Di Stefano cafe needs to train employees and managers on the new system, develop policies and implement security protocols that will ensure and promote

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