Data Warehouse-Based Ad Archive for Media Analysis

G. Indra, B. P. Kumar, G. H. Kumar, Mr. B. Srikanth
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引用次数: 0

Abstract

Media influence's public opinion and decision-making today. Advertisements especially affect audience perceptions, actions, and purchases. A comprehensive data library on commercials and their performance is needed to understand how media affects society. Ad content, placement, and performance are stored in a data warehouse-based ad archive. The archive can evaluate marketing campaigns and discover media trends. Ad servers, social media platforms, and media monitoring tools may build the data warehouse-based ad archive. A dimensional data model helps retrieve and analyze data. Structured Query Language (SQL) queries, Online Analytical Processing (OLAP) cubes, and data visualization tools may access the archive. Media academics, marketers, and politicians may study the media environment using the data warehouse-based ad archive. Media academics may utilize the collection to study the marketing campaigns, media trends and media's influence on society. The archive may help advertisers analyze their ad campaigns, optimize media placement, and understand their target demographic. Policymakers may use the archive to monitor media outlets' advertising compliance and assess policy changes' media landscape effects.
基于数据仓库的媒体分析广告归档
今天,媒体影响着公众舆论和决策。广告尤其会影响观众的认知、行为和购买。要了解媒体如何影响社会,就需要一个关于广告及其表现的综合数据库。广告内容、位置和效果存储在基于数据仓库的广告存档中。该档案可以评估营销活动并发现媒体趋势。广告服务器、社交媒体平台和媒体监控工具可以构建基于数据仓库的广告存档。维度数据模型有助于检索和分析数据。结构化查询语言(SQL)查询、在线分析处理(OLAP)多维数据集和数据可视化工具都可以访问该存档。媒体学者、营销人员和政治家可以使用基于数据仓库的广告存档来研究媒体环境。媒体学者可以利用这些资料来研究营销活动、媒体趋势和媒体对社会的影响。这些档案可以帮助广告商分析他们的广告活动,优化媒体布局,并了解他们的目标人群。政策制定者可以使用档案来监控媒体机构的广告依从性,并评估政策变化对媒体景观的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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