Online Interactive Training: The power of data — From data thinking to business practice (Chinese Session)

课程背景

数字化浪潮正在打破一切、刷新一切、重塑一切。企业数字化转型已经不是一个"好像可以尝试"的解决方案了，而是一个"必须全力达成"的时代趋势。如何让企业员工具备相应的数据技能，匹配企业的整体发展要求，就成为了每个想要实现数字化转型的企业必须面对的问题。

讲师结合过往多年互联网大厂及咨询工作中数据分析的实战经历，以及上百场关于数据驱动业务、数据化运营、数字化转型等主题的授课经验，独创"数据思维力模型"，通过"洞察力"、"解构力"、"重塑力"、"输出力"四个维度，系统性提升全体员工的数据思维，唯有从思维和认知上真正对数据重视，才会让提升数据意识，掌握数据能力不再是难题。

解决痛点

• 培养数据分析思维，提升数据敏感度。

在过往工作中有一定的数据意识用数据去处理问题，但是难以从数据中发现规律和关键要素，无法让数据成为分析问题的有利助手。

• 建立系统性分析框架。

对于如何解决难题，往往从经验出发，存在分析有遗漏和分析不清晰的问题，缺乏清晰有效的分析体系和框架。

• 掌握常见的数据分析方法。

在日常处理数据的过程中，常常很难挖掘出数据的内在价值，通过数据给予业务有效的洞见和决策。

Course Background

The wave of digitalization is breaking, refreshing and reshaping everything. The digital transformation of enterprises is no longer a solution that "seems to be tried", but an era trend that "must be achieved with all efforts". How to equip enterprise employees with corresponding data skills and match the overall development requirements of enterprises has become a problem that every enterprise that wants to achieve digital transformation must face.

Based on the practical experience of data analysis in Internet companies and consulting work in the past years, as well as hundreds of lectures on topics such as data-driven business, data-based operations, and digital transformation, The lecturer created the "Data-Thinking Model" to systematically improve the data thinking of all employees through the four dimensions of "insight", "deconstruction", "reshaping force" and "output force". Only by allowing trainees to really pay attention to data from the perspective of thinking and cognition will they make it no longer difficult to improve data awareness and master data ability.

You will learn

• Cultivate trainees' data analysis thinking and improve data sensitivity.

In the past work, there is a certain data awareness to use data to deal with problems, but It is difficult to find laws and key elements from data, and it is impossible to make data a favorable assistant for analyzing problems.

• Establish a systematic analysis framework.

For how to solve difficult problems, it is often based on experience, and there are omissions in analysis and unclear analysis. There is a lack of a clear and effective analysis system and framework.

• Master common data analysis methods.

In the process of processing data on a daily basis, it is often difficult to tap into the intrinsic value of data and give effective insights and decisions to the business through data.

课程受众

• 本课程为全员数据思维培训，适用于企业各岗位员工
• 因业务发展需要重视数据的岗位可重点关注

Course Audience



• This course is a data thinking training for all employees, which is suitable for employees in all positions of enterprises.
• Employees who value data due to business development can focus on it.

• All registrations shall be made online before the session. Payment also shall be made before the session.
• AmCham Shanghai members are eligible to attend at "Member Rate"; Employees who work at AmCham Shanghai member companies are eligible to attend at "Employee Rate"; Non-members are eligible to attend at "Non-Member Rate".

• Cancellation: If you need to cancel your registration, please notify Ray Cheng at (86 21) 6169 3015 or email ray.cheng@amcham-shanghai.org at least two weeks prior to the session for a full refund. Cancellation made within two weeks before the session will not be refundable.