Prototyping methodology-data warehousing and data mining


Question1. ‘There is overwhelming imperative for organisations to investigate every bit of information they can extract from their huge data warehouses for competitive advantage. That has turned the data storage and management function in a key strategic role of the information age whereby managers require practicing managerial activities such as data warehousing and data mining’. Describe the ‘data warehouse’ and ‘data mining’ concepts using proper examples.

Question2. E-Business has allowed for customer-centred retailing, that is, the removal of intermediate levels and allowing for customer self-service. Customer-centred retailing involves the following four elements: direct sales over the web, interactive marketing and personalization, mobile commerce and customer self-service. Discuss each element with suitable examples.

Question3. Information systems are becoming rising vulnerable to security breaches. Explain with examples.

Question4. Identify the basic guidelines which managers can take to ensure the security of the information systems used in their organizations.

Question5. The ‘Prototyping Methodology’ makes it probable for organisations to acquire working versions of a system quickly. Explain the merits and demerits of prototyping and identify the instances when prototyping should be used and when it must not be used.

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Management Information Sys: Prototyping methodology-data warehousing and data mining
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