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A university that operates multiple independent systems such as admissions, examinations, finance, and Learning Management Systems (LMS) generates large volumes of heterogeneous data. These systems are typically optimized for transaction processing and operate in silos, leading to data redundancy, inconsistency, and difficulty in generating integrated insights. The need for a data warehouse arises from the requirement to consolidate data from these disparate sources into a unified repository that supports strategic decision-making, reporting, and analytics. A data warehouse enables the university to perform cross-functional analysis such as tracking student performance against admission profiles, correlating financial data with enrollment trends, and evaluating learning outcomes using LMS data. It also supports historical analysis, which is not efficiently handled by operational databases. A data warehouse is characterized by several ______ ________ ________ ______ _______ ______ ________ _______ ___ _________ ______ _____.
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