W1 Asig Datawarehouse Essay Example | Topics and Well Written Essays - 500 words

W1 Asig Datawareho put on - Essay Examplech, in ones corporate set where IT is deemed a crucial source of training and response to inquiries needed by other departments, especially by the marketing department, the apparently slow response could be attributed to the sources of teaching that needs to be tapped before it could be disseminated to end users. The model below clearly depicts the flow of information from operational systems to end usersFrom the conceptual framework, it could be deduced that the operational systems undergo a series of processes on the information or data upon solicitation extraction, integration, cleansing, and transformation. This information is then stored in the organizations data warehouse to serve varied needs and demands of the users. The execute of delays in soliciting data from the foreign environment could be diverse from frequent changes in factors affecting the external environment to the need to update currently available information. As emph asized, reports generated in high data people environments normally take a long time to run. To speed up report generation, many systems use tools that employ a summarization technique to reduce the amount of records by aggregating records together with common characteristics. occupation with this technique includes inherent inflexibility and inability to cope with the constantly changing information needs of manufacturing (MAIA Intelligence, 2009, p. 4).Overall, the information gathered by the IT department needs to be processed and transformed in the most accurate manner before being transformed and stored to the organizations data warehouse. As such, the delay should be understandable given the volume of information from the external environment that needs to be summarized and integrated harmonize to the users needs. Concurrently, experts in BI has asserted that business leaders want to obtain real metrics and near-real-time, link directly to the business processes, system dat a and insights