SwedCham China is glad to offer a Two Full Day offline training again to our members and friends. The training will be presented in Chinese.

Data analysis and problem solving are two essential skills for modern professionals. However, when solving problems at work, do we often fall into the misunderstanding of "only treat the head when head hurts, only treat the feet when feet hurt"? Digitization makes it easier to obtain data, but do we often struggle to draw valid conclusions when faced with massive amounts of data? This course is designed to overcome the above dilemmas. It helps students reshape their problem-solving thinking and data-oriented thinking, and establish a way of thinking that combines systematic problem solving and data-oriented thinking.

The course is systematic and practical:

• Systematic: organically insert data analysis tools into a clear overall framework of problem-solving method. Students will master a systematic approach rather than discrete tools.

• Practical: With a work-related simulation game embedded, students could actively practice the tools. Not only to learn the "what" and "why", but also master the " how" and achieve visible results onsite.

数据分析和问题解决是现代职场人必不可少的两项技能。然而，在解决工作中的问题时，我们是否常常陷入"头痛医头，脚痛医脚"的误区？数字化让获取数据变得容易，面对海量数据我们却是否常常苦于得不出有效结论？基于数据的系统化问题解决课程专为破除以上困境设计，可以帮助学员重塑问题解决思维和数据导向思维，建立起系统问题解决与数据导向结合的思维方式。

本课程兼具系统化和实操性两个特点：

• 系统化：从思维方式入手，为学员搭建起清晰的问题解决逻辑框架，并在合适的步骤中有机地插入数据分析工具，内容关联紧密。学员将掌握系统性的方法，而非相互割裂的单个工具。
• 实操性：课程贯穿一个贴近工作场景的沉浸式模拟游戏，学员将把所学工具带入该场景实操练习，不仅能学会"是什么"和"为什么"，还能在培训现场掌握"怎么做"并取得可见的成果。

Target Audience/目标学员

Professionals in all industries and positions who is in need of data analysis and problem-solving.

有数据分析和问题解决需求的各类职场人士，不限行业和岗位。

Teaching Method/授课形式

Lectures, case study, group discussion, group exercise, simulation game

课堂讲授、案例分析、分组讨论、小组练习，模拟游戏

Objective/课程目标

Through this course, participants will be able to:

• Change the mindset: get rid of their fixed pattern for problem solving and data analysis, while establishing a systematic problem-solving mindset based on data
• Master the method: master a systematic problem-solving method
• Upgrade the skillset: be proficient in using data analysis tools such as hypothesis testing, correlation analysis, regression analysis, etc., and mastering the logic principles
• Solve a real problem: participants will solve a real problem through a simulation game, applying the methodology and tools learned in the training.

在课程结束时，学员将：

• 改变固有思维模式：打破"头痛医头"和"被数据推着走"的固有模式，建立基于数据的系统化问题解决思维

• 掌握问题解决方法：掌握 DMAIC 高效问题解决方法

• 熟练数据分析工具：熟练使用假设检验、相关分析、回归分析等常用数据分析工具，并掌握背后原理

• 解决实际工作问题：通过模拟游戏，在培训现场解决一个工作场景中的实际问题

同主题培训受到了先前学员的一致欢迎和高度评价，部分学员反馈如下

"学到很多实用的方法和工具，思维也开拓不少"

"课程非常实用，以后可以运用到工作中"

"培训内容安排非常系统化，逻辑非常清晰，本来挺有难度的内容可以很轻松的掌握"

"课程实操环节设计很棒，有助于快速掌握知识点"

"回顾抢答方式很新颖，可以最大程度调动学员积极性，赞!"

This training was highly recognized by the previous participants, some of the comments are quoted as follows:

"I have learned many practical methods and tools, expanded my thinking."

"The course is very practical and can be applied to work in the future."

"The training content is systematically arranged, with a very clear logic. Initially challenging content became easy to grasp."

"The design of practical exercises is excellent, helping quickly master key concepts."

"The innovative review and rapid-response approach maximized participant engagement. Great."

Outline/课程大纲

Part 1: Establishing Mindset

· Interaction Case 1: Systematic problem-solving mindset

· Interaction Case 2: Correct data-driven mindset

· Reflection: How to build a mindset that combines systematic problem-solving with data orientation

Part 2: Mastering Methodologies and Tools

· A simulation case study (initial status)

· Phase 1: Understand the problem itself

Establish problem indicators

− SMART principles

Scope the problem from a process perspective

− SIPOC

Clarify the essence of the problem

− From "Voice of the Customer" to "Critical Quality Characteristics"

Understand customer's true needs

− KANO Model

Exercise 1: practice phase 1 tools in the simulation case

· Assess the Current State

Correctly identify data source

Scientifically collect data

− Data collection approach

− Reliability of data collection

− Statistical sampling basics

− Sampling strategy

Effectively present data collection result

− Key statistics

− Key performance indicators

− Visualization

Exercise 2: practice phase 2 tools in the simulation case

· Find out the root causes

Identify potential causes

− Fishbone diagram & 5 Whys

Exercise 3: potential cause identification practice in the simulation case

*Verify root causes - Qualitative analysis

− Swimlane

− Value analysis

Exercise 4: qualitative analysis practice in the simulation case

Verify root causes - Data analysis

− Data analysis foundation

− Hypothesis test

− Correlation

− Regression

Exercise 5: data analysis practice with the simulation case data (using Excel)

· Implement the best solutions

-Identifying potential solutions

-Selecting the best solution

-Implementing the best solution

Exercise 6: practice phase 4 tools in the simulation case

· Monitor the improved result

-Clearly defining control indicators

-Establishing a control plan

-Developing response plans

-Continuous improvement

· Summary and recap

第一部分：建立思维方式

· 互动案例1：系统的问题解决思维

· 互动案例2：正确的数据导向思维

· 思考：如何建立系统问题解决与数据导向结合的思维方式

第二部分：掌握方法工具

· 某问题解决模拟情景的背景介绍（初始状态）

第一步：明确问题本身

设立问题指标

− SMART原则

从流程视角定义问题边界

− SIPOC工具

明确问题本质

− 从"客户的声音"到"关键质量特性"

理解客户需求

− KANO模型

练习1：第一阶段工具在模拟情景中的实操练习

第二步：通过数据衡量现状

正确识别数据

− 筛选数据源

科学收集数据

− 定义数据收集方法

− 检验数据收集方法的可靠性

− 理解抽样原理

− 选择抽样方法

有效呈现结果

− 关键统计量

− 流程表现指标

− 可视化

练习2：第二阶段工具在模拟情景中的实操练习

第三步：识别根本原因

识别潜在原因

− 鱼骨图 & 5 Why

练习3：模拟情景中的识别潜在原因实操练习

筛查根本原因——定性分析

− 泳道图

− 价值分析

练习4：模拟情景中的定性分析工具实操练习

筛查根本原因——定量分析

− 数据分析基本原理

− 假设检验

− 相关分析

− 回归分析

练习5：基于模拟情景中数据的定量分析工具实操练习（需使用Excel）

第四步：实施最佳方案

-识别潜在解决方案

-筛选最佳解决方案

-实施最佳解决方案

练习6：第四阶段工具在模拟情景中的实操练习

第五步：监控改善结果

-明确控制指标

-建立控制计划

-制定响应预案

-持续改善

总结与回顾

Event info 活动信息

Date: March 21-22 , 2024(Full Day, 2 days 全天培训, 两天）

Time: 09:00 - 17:00

Price:

Early Bird Member Ticket: 3680 RMB/person ( Available until February 29th, 2024)

Member Ticket Individual: 4850 RMB/person;

Non-member Ticket: 5850 RMB/person.

(Ticket price includes lunch, coffee and tea )

Registration: Before March 15, 2024; 报名截止于2024年3月15日

Venue: MFG Office; Floor 8th, West Tower, Prosper Center, No.5 Guang Hua Road, Chao Yang District, Beijing 北京朝阳区光华路5号世纪财富中心西塔8层

Language: In Chinese ( 中文讲解）

Please kindly note the course will open if we have Min. 8 participants.

Cancellation Policy

If you cannot attend a training for which you have registered, please cancel your registration no later than seven business days prior to the event. If you fail to notify us of your cancellation in a timely fashion, you will be charged for the training costs.

Fapiao (VAT Invoice)

Apply fapiao when purchasing a ticket, by inputting the Chinese entity name and tax ID (if the title is wrong, you will be unable to receive the Fapaio). Make sure your IT has whitelisted the domain "XX@hlzrkj.xyz​. E-Fapiao will be sent to your e-mail within 7 days after completed event (check spam folder). If the fapiao can not be received, please provide an alternative email or contact finance@swedcham.cn.