Pub Date : 2022-01-04DOI: 10.14302/issn.2768-0207.jbr-21-4048
Donald L. Buresh
The purpose of this essay is to discuss the advantages and disadvantages and the benefits and costs of Big Data. The paper outlines the relevant federal and state privacy laws, including the California Consumer Privacy Act as amended, the Virginia Consumer Data Protection Act, and the Colorado Privacy Act. While highlighting several Federal Trade Commission privacy violation cases, the effects of Big Data collection and government surveillance are described in some detail. Advertising and marketing are defined, where it is argued that while the scanning of emails by email providers may be legal, it should be accomplished with consent, or not at all. The essentials of contract law and specific contract negotiation techniques are outlined for the benefit of attorneys. Finally, it is argued that although Big Data is the wave of the future, like all human institutions, it has in its definition the inherent paradoxes of transparency, identity, power, and exclusion that may potentially spell its undoing.
{"title":"Legal, Marketing, and Advertising Issues with Big Data","authors":"Donald L. Buresh","doi":"10.14302/issn.2768-0207.jbr-21-4048","DOIUrl":"https://doi.org/10.14302/issn.2768-0207.jbr-21-4048","url":null,"abstract":"The purpose of this essay is to discuss the advantages and disadvantages and the benefits and costs of Big Data. The paper outlines the relevant federal and state privacy laws, including the California Consumer Privacy Act as amended, the Virginia Consumer Data Protection Act, and the Colorado Privacy Act. While highlighting several Federal Trade Commission privacy violation cases, the effects of Big Data collection and government surveillance are described in some detail. Advertising and marketing are defined, where it is argued that while the scanning of emails by email providers may be legal, it should be accomplished with consent, or not at all. The essentials of contract law and specific contract negotiation techniques are outlined for the benefit of attorneys. Finally, it is argued that although Big Data is the wave of the future, like all human institutions, it has in its definition the inherent paradoxes of transparency, identity, power, and exclusion that may potentially spell its undoing.","PeriodicalId":115386,"journal":{"name":"Journal of Big Data Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122998152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-24DOI: 10.14302/issn.2768-0207.jbr-18-2175
Ching-Yi Lin, F. Liang, Sheng-Tun Li, Tsung Hsueh Lu
Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant dashboards, and proposing the following 5S dashboard design principle framework: 1) seeing both the forest and trees, 2) simplicity through self-selection, 3) simplicity through significance, 4) simplicity through synthesis, and 5) storytelling. The third and fourth principles are novel and provide solutions to decision-making problems (such as conflicting results from excessive and discordant indicators) encountered by health care professional in the public sector as well as in other domains. The 5S dashboard design principles are easily memorized and practical and thus enable non-IT professionals and nonexpert casual users to design insightful dashboards efficiently by using SSBI tools.
{"title":"5S Dashboard Design Principles for Self-Service Business Intelligence Tool User","authors":"Ching-Yi Lin, F. Liang, Sheng-Tun Li, Tsung Hsueh Lu","doi":"10.14302/issn.2768-0207.jbr-18-2175","DOIUrl":"https://doi.org/10.14302/issn.2768-0207.jbr-18-2175","url":null,"abstract":"Non–information technology (IT) professionals and nonexpert casual users are increasingly adopting self-service business intelligence (SSBI) tools (such as Tableau, Qlik, and Power BI) to create data visualization dashboards. This study identified the most relevant dashboard design principles for SSBI tool users. The research approach included organizing a focus group in which most of the participants were non-IT professionals in health care, extracting recommended principles from the literature, applying these recommended principles by using data on quality of diabetes care to design relevant dashboards, and proposing the following 5S dashboard design principle framework: 1) seeing both the forest and trees, 2) simplicity through self-selection, 3) simplicity through significance, 4) simplicity through synthesis, and 5) storytelling. The third and fourth principles are novel and provide solutions to decision-making problems (such as conflicting results from excessive and discordant indicators) encountered by health care professional in the public sector as well as in other domains. The 5S dashboard design principles are easily memorized and practical and thus enable non-IT professionals and nonexpert casual users to design insightful dashboards efficiently by using SSBI tools.","PeriodicalId":115386,"journal":{"name":"Journal of Big Data Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129912559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：