{"title":"把分析师赶出会议室:用智能交互式可视化系统支持未来数据驱动的决策制定","authors":"Yi Han","doi":"10.1109/TREX57753.2022.00007","DOIUrl":null,"url":null,"abstract":"Today's data-driven decisions are largely dependent on professional analysts conducting analysis and generating visualizations for decision makers. These middlemen between data and decision makers may induce cost and trust issues in the generated visualizations. To overcome these issues, I envision a future scenario where intelligent interactive visualization systems may replace analysts in the decision-making process when the analyses and visualizations are relatively simple. However, three gaps need to be addressed before the future scenario could be realized. In this paper, I will discuss these gaps, propose potential solutions, and hope to raise a discussion on the future role of visualization systems for data-driven decision-making.","PeriodicalId":150871,"journal":{"name":"2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Kicking Analysts Out of the Meeting Room: Supporting Future Data-driven Decision Making with Intelligent Interactive Visualization Systems\",\"authors\":\"Yi Han\",\"doi\":\"10.1109/TREX57753.2022.00007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today's data-driven decisions are largely dependent on professional analysts conducting analysis and generating visualizations for decision makers. These middlemen between data and decision makers may induce cost and trust issues in the generated visualizations. To overcome these issues, I envision a future scenario where intelligent interactive visualization systems may replace analysts in the decision-making process when the analyses and visualizations are relatively simple. However, three gaps need to be addressed before the future scenario could be realized. In this paper, I will discuss these gaps, propose potential solutions, and hope to raise a discussion on the future role of visualization systems for data-driven decision-making.\",\"PeriodicalId\":150871,\"journal\":{\"name\":\"2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TREX57753.2022.00007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TREX57753.2022.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kicking Analysts Out of the Meeting Room: Supporting Future Data-driven Decision Making with Intelligent Interactive Visualization Systems
Today's data-driven decisions are largely dependent on professional analysts conducting analysis and generating visualizations for decision makers. These middlemen between data and decision makers may induce cost and trust issues in the generated visualizations. To overcome these issues, I envision a future scenario where intelligent interactive visualization systems may replace analysts in the decision-making process when the analyses and visualizations are relatively simple. However, three gaps need to be addressed before the future scenario could be realized. In this paper, I will discuss these gaps, propose potential solutions, and hope to raise a discussion on the future role of visualization systems for data-driven decision-making.