1. The following major concepts were introduced in this Chapter (Ch 6): 1.1 Data Warehouse
A data warehouse is a database that stores current and historical data of potential interest to decision makers throughout the company. The data originate in many core operational transaction systems, such as systems for sale, customer accounts, and manufacturing, and may include data from Web site transactions. The data warehouse consolidates and standardizes information from different operational databases so that the information can be used across the enterprise for management analysis and decision making.
In the Terrorist Watch List Database case, the information about suspected terrorists are consolidated and standardized from multiple government agencies so that the information can be centralized into a single list, from which different agencies can communicate and share information with each other. This centralized database is a specific example of data warehouse. In this case, the data warehouse containing the relevant information of individuals from each agency’s list enhancing effectiveness of communication between agencies as well as increase the consistency of information from separate databases.
The data warehouse makes the data available for anyone to access as needed, but it cannot be altered. 1.2 Data Mining
Data mining is more discovery driven. Data mining provides insight into corporate data that cannot be obtained with OLAP by finding hidden patterns and relationships in large databases and inferring rules from them to predict future behaviour. The patterns and rules are used to guide decision making and forecast the effect of those decisions. The types of information obtainable from data mining include associations, sequences, classifications, clusters, and forecasts.
1.3 Business Intelligence
These tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions are often...
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