The scenario describes a social media platform generating alarge volume of raw data(e.g., user interactions, multimedia content) and a need foradvanced analysisby the marketing department.Big Data Analysis(D) is the best technology, as it handles large, unstructured datasets and uses advanced techniques (e.g., machine learning, predictive analytics) to derive insights, such as user behavior or campaign effectiveness.
Master Data Management (MDM) (A):Focuses on managing core business data (e.g., customer records) for consistency, not analyzing large raw datasets.
Digital Asset Management (DAM) (B):Manages multimedia assets (e.g., images, videos) for storage and retrieval, not advanced analysis.
Online Analytical Processing (OLAP) (C):Supports multidimensional analysis of structured data but is less suited for unstructured, large-scale social media data compared to big data tools.
Big Data Analysis aligns withIT strategyfor leveraging large datasets to drive business value, as per modern data management frameworks.
[Reference:EPI CITM study guide, under IT Strategy, likely discusses data management technologies, emphasizing big data for advanced analytics. Refer to sections on data analytics or emerging technologies., , ]
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