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Data Warehousing and Business Intelligence - Essay Example

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This paper focuses on concepts of "Data Warehousing and Business Intelligence" that are central for proper data management, particularly if an extremely large amount of data is concerned. Data Warehouses are central to the Business Intelligence of an organization, which basically represents the Knowledge Reach of an organization…
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Data Warehousing and Business Intelligence
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Download file to see previous pages For all organizations, Data Warehousing and Business Intelligence have become key research areas. Both concepts are central for proper data management, particularly if an extremely large amount of data is concerned. Data Warehouses are central to the Business Intelligence of an organization, which basically represents the Knowledge Reach of an organization. A large number of methods have developed for the design of efficient warehouses and other peripheral tools meant to access or update the data warehouses.
1) Data Warehouses: Data Warehouse is generally defined as subject-oriented, time-variant, static, and consolidated storage of information. Data Warehousing, in terms of Decision Support systems, could be defined as collections of decision support technologies, trying to enable strategy makers of an organization to take speedy decisions.
2) Decision Support Systems (DSS): Decision Support systems are generally knowledge-based systems pooling data from different software and web services and providing the users with mechanisms to utilize the data for developing better tools and strategies and forecasting market and consumer-related events more accurately.
4) Business Intelligence: Business Intelligence is a wide concept consisting of the tools, methodologies, and data sources contributing to the enhancement of information management system in an efficient, user-friendly and integrated manner for an organization so as to increase productivity and Return on Investment (ROI) and decrease development and maintenance costs. 
6) Enterprise Information management (EIM): Enterprise Information Management is the management of end-to-end data of an organization through the application of various services and technologies, and proper representation of information using established and well-defined semantics. They also ensure proper integration of data obtained through various channels and speedy execution of various data-processing related transactions. ...Download file to see next pagesRead More
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