G. Indra, B. P. Kumar, G. H. Kumar, Mr. B. Srikanth
{"title":"Data Warehouse-Based Ad Archive for Media Analysis","authors":"G. Indra, B. P. Kumar, G. H. Kumar, Mr. B. Srikanth","doi":"10.1109/ICECAA58104.2023.10212301","DOIUrl":null,"url":null,"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.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA58104.2023.10212301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.