[Online Training] 引爆数据思维力——从数据思维到数据实战 The power of data — From data thinking to business practice（中文授课 In Chinese)

课程背景 Course Background

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。

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.

适用对象 Who should attend

• 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
• 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.

解决痛点 You will learn

• 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。
• 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.

课程大纲 Course Outline

讲师：徐尧

• 企业数字化转型&数据运营专家
• 工银瑞信商业分析经理，止观科技首席顾问，先后在网易、阿里担任数据分析专家
• 首创“数据思维力模型”、“数据驱动业务的六脉神剑”，畅销课《商业分析实战》课程讲师
• 对互联网行业数据驱动业务、金融行业数据思维打造、传统行业数字化转型有丰富实操经验
• 拥有多行业全套的数字化转型案例实操和数据驱动业务的工作经验，擅长提供B端&C端企业数据分析问题的全套解决方案。

Xu Yao, a graduate of Beihang University, has nearly 10 years of work experience. As a business analysis manager of ICBC Credit Suisse, he has worked as a data analysis expert in NetEase and Alibaba successively, as well as a chief consultant in Zhiguan Technology. He was the initiator of “Four Forces Model of Data Thinking” and ” Data-Driven Business Methods”. He also acted as a lecturer of SANJIEKE’s Business Analysis Practice, and has a rich experience in business analysis practice and structured disassembling for multiple industries. He is good at providing a complete set of solutions for B-end & C-end corporate data analysis.

日期 Date：Tuesday, October 18

价格 Price:

会员价 Member Price: RMB 1,480 / guest

非会员价 Non-member Price: RMB 1,680 / guest

即刻报名 Registration 

请于2022年10月17日前写邮件联系 Cherry Huang (events@sha.swisscham.org) 登记报名。

To register, please write an email to Cherry Huang (events@sha.swisscham.org) before October 17, 2022.