Question
A university intends to build an enterprise data warehouse by integrating admissions, examinations, finance and LMS databases. Explain the need for a data warehouse, discuss its characteristics, and
justify whether the Inmon or Kimball approach is more suitable.
Answer :
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Skip in 10
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
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