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通过 Web Intelligence Hub 提供基于在线的企业特性.pdf

上传人: Fl****zo 编号:718607 2025-06-22 16页 341.63KB

1、Providing Online Based Enterprise Characteristics with the Web Intelligence Hub.Experience of the Web Intelligence Network activitiesJacek Malankowski(j.maslankowskistat.gov.pl)Statistics PolandUniversity of Gdask2025/02/04Trusted Smart Statistics Web Intelligence NetworkGrant Agreement numer:101035

2、829(2020-PL-SmartStat)AgendaBackground informationMethodology and data processingMain findings and conclusions2What is Online Based Enterprise Characteristics?OBEC term have been used since 2018 The use of a website by the enterprise to present its business,with extension to social media perspective

3、.It includes not only the existence of a website which is located on servers belonging to the enterprise or at one of the enterprises sites,but also third partys websites.How can we define OBEC population?Methodological manual for data compilers and users of the ICT survey:A4.Does your enterprise ha

4、ve a website?The population of OBEC use case consists of enterprises having website and employing 10 or more employees.OBEC population=URL database for WIHIt consists of two datasets:For the Web Intelligence Platform(web scraping tool with data storage Amazon OpenSearch):Anonymized ID Enterprise URL

5、 Group to which it belongs(e.g./OBEC)For further processing in Datalab(JupyterLab with Python,RStudio):Business register ID Anonymized ID Other attributesTo link with business registerWhat indicators OBEC can provide?List of indicatorsINDICATORBREAKDOWN1BREAKDOWN2MEASURESocial media presenceInstagra

6、m/X/Facebook/LinkedIn/Xing/Tiktok/Pinterest/?Viadeo/?Yammer/Flickr/Instagram/Snapchat/Slideshare/Threads/Whatsapp/Reddit/Telegram/Discord/WeChat/NACECompany size,RegionPresent/Not in any;in specificE-commerce-NACECompany size,RegionYes/NoChatbot-NACECompany size,RegionYes/NoInnovationWith extension

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本文介绍了基于网络的 企业特性(OBEC)概念,以及其在Web Intelligence Network中的应用。关键点如下: 1. OBEC定义:自2018年起使用,指企业利用网站展示业务,并扩展到社交媒体视角。 2. OBEC人口:拥有网站且雇员数超过10人的企业。 3. 指标提供:包括社交媒体存在性、电商、聊天机器人、多语言支持等。 4. 数据收集:使用Web Intelligence Platform进行网站数据抓取,存储于Amazon OpenSearch。 5. 方法论障碍:目标人群的不确定性,不同国家网站规则差异,数据收集和处理算法的不一致性。 6. 主要发现:国内法律规定的差异,数据共享方法的不一致。 7. 结论:强调与Eurostat的紧密合作,OBEC数据在Eurostat数据库中的发布是成功的关键因素。 核心数据引用: - OBEC人口 = URL数据库 - 指标示例:社交媒体存在性、电商使用情况等 - 数据处理步骤:6步流程简述 - 方法论障碍:法律、数据共享规则变化等。
"OBEC指标有哪些独到之处?" "如何使用Web Intelligence Hub?" "数据收集处理的难点是什么?"
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