CMT 445: BUSINESS INTELLIGENCE
| Institution | Catholic University of Eastern Africa |
| Course | BACHELOR OF COMPUTER... |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | stephen oyake rabilo |
| File Type | |
| Pages | 2 Pages |
| File Size | 606.87 KB |
| Views | 153 |
| Downloads | 0 |
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Description
Provide an explanation of each of below;
i) Business Intelligence [2 marks]
ii) By giving example explain what is business knowledge [2 marks]
iii) Decision Support System(DSS) [2 marks]
b) The logistics manager of a manufacturing company wishes to develop a
medium-term logistic-production plan. This is a decision-making process of
high complexity which includes, among other choices, the allocation of the
demand originating from different market areas to the production sites, the
procurement of raw materials and purchased parts from suppliers, the
production planning of the plants and the distribution of end products to
market areas. Describe three benefits of using that the logistics manager will
get in using BI tools. [6 marks]
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CMT 445: BUSINESS INTELLIGENCE
a) Define the following terms explaining their meaning
i) Business Intelligence [2 marks]
ii) Data Warehouse [2 marks]
iii) Data Mining [2 marks]
iv) Decision Tree [2 marks]
v) Web Mining [2 marks]
b) Using appropriate diagrams, describe the Business Intelligence data
processing chain. [6 marks]
c) What are the key elements of a data warehouse? Describe each. [8 Marks]
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CMT 445: BUSINESS INTELLIGENCE
Q1. a) Define the following terms used in business intelligence:
i. Business intelligence: Business intelligence (BI) refers to technologies, applications, and
practices for the collection, integration, analysis, and presentation of business information. It
enables organizations to make informed business decisions [1].
ii. Data warehouse: A data warehouse is a large, centralized repository of data that is used for
reporting and data analysis. It is designed to support business intelligence activities and
decision-making processes [1].
iii. Data mart: A data mart is a subset of a data warehouse that is tailored to the needs of a
specific department or group within an organization. It contains data relevant to a particular
subject area or business process [1].
iv. Knowledge discovery: Knowledge discovery in data mining is the process of exploring and
analyzing large amounts of data to discover significant patterns, rules, and insights. It helps in
finding knowledge from raw, unprocessed data [15].
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