钉钉企业组织与业务数字化衡量指数金融行业分布数据

钉钉企业组织与业务数字化衡量指数，又称钉钉指数。钉钉指数由指数分（包括指数分模块、指数分构成、指数分趋势）及诊断建议两方面构成。可用于衡量某一组织的组织管理、业务管理的数字化程度，让每个组织了解自己处于数字化什么阶段、哪些方面薄弱、以及如何提升，有针对性地提升组织和全员数字化能力，实现组织数字化水平跃迁。也可辅助第三方机构判断企业的数字化程度、管理效能、真实运作情况。钉钉指数的行业分布数据，有利于了解不同行业、不同人员规模的企业数字化程度、数字化特征等。（数据规模数量涉及公司机密，实际规模大于所列条数）1、数据采集和处理：收集企业组织对钉钉软件各功能的使用情况，进行匿名化处理。 2、算法加工：钉钉指数分为基础得分、组织在线分、组织协同分、组织效率分、业务在线分、AI创新分相加而得。其中，基础得分根据已激活用户数量、成员对于钉钉基本功能的使用活跃度计算。其他得分根据各具体指标的得分相加而得。各具体指标以同行业同规模组织的80分位值为满分；如某一组织的具体指标高于80分位值则为满分，否则，按照与80分位值的比例计算得分。具体指标的分布及每一指标的满分分值，由钉钉根据全局企业组织的数字化水平动态调整。组织在线分的衡量指标包括活跃用户数、打卡人数等反映成员活跃度的数据；组织协同分的衡量指标包括即时通信、文档、日程等的使用量；组织效率分的衡量指标包括平均待办完成时长、日志已读率等指标；业务在线分的衡量指标包括钉钉连接流、低代码应用、上下游组织用量等反映业务在线化管理水平的指标；AI创新分的衡量指标为成员对钉钉上的AI工具的使用量。分数越高，说明组织的数字化和业务的数字化水平越高。分数在0-299为新手组织。分数在300-599为试用组织。分数在600-1000是深度使用组织。

DingTalk Enterprise Organization and Business Digitalization Measurement Index, also known as DingTalk Index. DingTalk Index consists of two parts: the index score (including index score modules, index score composition, and index score trends) and diagnostic suggestions. It can be used to measure the digitalization level of an organization's organizational management and business management, enabling each organization to identify its current stage of digitalization, its weak aspects, and how to improve its digitalization, so as to enhance the digital capabilities of the organization and all its employees in a targeted manner, and achieve a leap in the organization's digitalization level. It can also assist third-party institutions in evaluating the digitalization level, management efficiency, and actual operational status of enterprises. The industry distribution data of DingTalk Index is conducive to understanding the digitalization level and digital characteristics of enterprises across different industries and employee scales. (The data scale involves company trade secrets, and the actual scale is larger than the listed number of entries.) 1. Data Collection and Processing: Collect the usage data of each function of the DingTalk software by enterprise organizations, and perform anonymization processing. 2. Algorithm Processing: The DingTalk Index is calculated as the sum of the basic score, organizational online score, organizational collaboration score, organizational efficiency score, business online score, and AI innovation score. Among them, the basic score is calculated based on the number of activated users and the usage activity of members for the basic functions of DingTalk. The other scores are calculated by summing the scores of each specific indicator. Each specific indicator takes the 80th percentile value of organizations in the same industry and of the same scale as the full score. If an organization's specific indicator is higher than the 80th percentile, it will be awarded the full score; otherwise, the score is calculated based on the proportion to the 80th percentile value. The distribution of specific indicators and the full score of each indicator are dynamically adjusted by DingTalk based on the digitalization level of global enterprise organizations. The measurement indicators of the organizational online score include data reflecting member activity, such as the number of active users and the number of clock-in users; the measurement indicators of the organizational collaboration score include the usage volume of instant messaging, documents, schedules, etc.; the measurement indicators of the organizational efficiency score include indicators such as average to-do completion time and log read rate; the measurement indicators of the business online score include indicators reflecting the level of business online management, such as DingTalk connection flows, low-code applications, and the usage volume of upstream and downstream organizations; the measurement indicator of the AI innovation score is the usage volume of AI tools on DingTalk by members. A higher score indicates a higher level of organizational and business digitalization. Scores ranging from 0 to 299 correspond to novice organizations. Scores ranging from 300 to 599 correspond to trial organizations. Scores ranging from 600 to 1000 correspond to deep-use organizations.

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该数据集为钉钉企业组织与业务数字化衡量指数在金融行业的分布数据，包含99999条记录，每日更新。数据涵盖组织名称、行业、各阶段得分等字段，用于评估企业数字化水平，适用于企业自我评估和第三方机构分析。