Group 1 - The core idea emphasizes that data visualization is a crucial aspect of digital transformation, as data must be understandable to be useful [2] - Different types of visualization tools are needed across various business functions, rather than a one-size-fits-all approach [4] - The article categorizes visualization tools based on their purposes, such as BI analysis, real-time operations, collaboration, and process visualization [5][6] Group 2 - Visualization can be applied in various business scenarios, providing specific examples of how it can drive data-driven decision-making [8] - Effective visualization should tell a story with data, rather than just presenting metrics, to provide insights [8] - Multi-perspective dashboards are essential to meet the needs of different user groups, ensuring that each level of the organization has relevant information [11] Group 3 - Visualization acts as an accelerator for operational optimization by making issues visible and facilitating quicker decision-making [13][15] - Clear responsibilities are established through visual progress tracking, which helps avoid confusion in collaboration [15] - Long-term data visualization practices enable organizations to learn from past experiences and improve over time [15] Group 4 - Recommendations for effectively utilizing visualization include ensuring data consistency, focusing on real business scenarios, customizing for different roles, continuous optimization, and promoting a data-driven culture [15]
数字化转型不能只讲系统和数据,可视化才是推动企业运营优化的关键一环
Sou Hu Cai Jing·2025-04-07 10:56