Digital analytics and web analyses for purposes of market, opinion and social research — Vocabulary and service requirements
市场观点和社会研究用数字分析和网络分析.词汇和服务要求
发布日期:
2017-05-23
ISO 19731:2017规定了通过各种方法和技术进行数字分析和网络分析的组织和专业人员的术语和定义以及服务要求,以收集、分析和报告用于市场、观点和社会研究的数字数据。它提供了评估和评估此类服务质量的标准。
ISO 19731:2017适用于由服务提供商主动、客户委托或客户自己进行的数字分析和网络分析。
ISO 19731:2017适用于数字和网络分析研究活动,例如:
-通过使用cookie、页面印象和其他方式、网站导航、访问者花费的时间和他们的行为,了解网站的使用情况;
-在线计量面板,e。
g、 通过安装在小组成员的桌面、移动或平板设备上的仪表持续测量网络访问量;
-基于标签的解决方案,用于在宇宙水平上测量在线使用情况,可与计量面板数据集成,以提供混合测量;
-社交媒体分析,收集、汇总和分析在线评论,以及用户生成的内容,如博客、论坛和新闻网站或其他网站上的评论。
注:宇宙也可以称为人口。
ISO 19731:2017可解释为涵盖所有形式的数字数据收集,包括台式电脑、平板电脑、移动设备和OTT设备,以及物联网(IoT)设备(如适用)。
ISO 19731:2017 specifies the terms and definitions, as well as the service requirements, for organizations and professionals that conduct digital analytics and web analyses for collecting, analysing and reporting of digital data for purposes of market, opinion and social research by various methods and techniques. It provides the criteria against which the quality of such services can be assessed and evaluated.
ISO 19731:2017 applies to digital analytics and web analyses conducted by service providers on their own initiative, commissioned by clients or conducted by clients themselves.
ISO 19731:2017 applies to digital and web analysis research activities such as:
- understanding the usage of websites via the use of cookies, page impressions and other means, navigation across sites, time spent by visitors and their actions;
- online metered panels, e.g. on-going measurement of web visitation via meters installed on panellists' desktop, mobile or tablet devices;
- tag-based solutions to measure online usage at universe level, which can be integrated with metered panel data to provide a hybrid measurement;
- social media analytics which collect, aggregate and analyse online comments, and user-generated content such as blogs, forums and comments on news sites or other sites.
NOTE Universe can also be known as population.
ISO 19731:2017 can be construed to cover all forms of digital data collection including from desktop computers, tablets, mobile devices and over the top (OTT) devices as well as internet of things (IoT) devices where applicable.