苏州AI职场：用对数据分析思维

日期：5月19日，下午2:00 - 4:00

地点：ICC Club, 7F, SUZHOU ICC, No. 418 East Suzhou Avenue, Suzhou Industrial Park苏州大道东410号苏州环贸广场ICC7楼

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上海美国商会苏州中心诚挚邀请您参加“AI+职场中的正确数据分析思维”分享活动，将于5月19日（星期二）下午 2:00-4:00在苏州环贸ICC举行。

在变化迅速的商业环境里，很多职场人士都会遇到决策难题：当需要做出关键业务选择时，有人只靠模糊的经验与直觉；也有人被大量数据“淹没”，却始终提炼不出可用的结论。KPI一旦下滑，团队往往陷入不停试错的循环；领导追问决策依据时，只能给出缺少数据支撑的解释；当方案被要求进一步论证时，又只能用“行业惯例”回应，却拿不出经得起验证的证据。与此同时，已经掌握AI数据分析能力的同事，能够更快地完成分析并定位问题。为了帮助大家突破手工处理数据带来的低效，本次活动将围绕科学、有效的数据分析思路与AI数据分析工具展开分享，助力参与者在职场中更轻松地建立数据导向的决策观。

目标学员

有数据分析与决策需求的各类职场人士，面向所有行业与岗位。

*注：本次活动语言为中文，并提供英文字幕。

The American Chamber of Commerce in Shanghai's Suzhou Center cordially invites you to join the AI+ Data Analytics Mindset in the Workplace on Tuesday, May 19, from 2:00 PM to 4:00 PM at the SUZHOU ICC.

In today's fast-changing business world, professionals often run into tough decision-making challenges. Some rely on uncertain intuition when choosing key actions, while others face overwhelming data yet can't turn it into truly actionable insights. When KPIs decline, teams frequently get stuck in repeated trial-and-error; when leaders ask for justification, they struggle to provide evidence-backed reasoning; and when proposed solutions are challenged, “industry norms” are used instead of solid data. On top of that, coworkers using AI-enabled data analytics can resolve issues quickly, whereas others still spend too much time on manual data work. This event tackles these pain points by introducing science-based data analysis frameworks and practical AI-powered tools, helping participants build a data-driven decision-making mindset with ease.

Target Audience

Professionals from all industries and roles who need support with data analysis and decision-making.

*NOTE: The event will be conducted in Chinese, with English subtitles provided for reference.

1:45 PM - 2:00 PM

签到 Check-in

2:00 PM - 2:05 PM

苏州环贸ICC介绍 Suzhou ICC Introduction

2:05 PM - 2:30 PM

建立科学的数据分析思维 Building a scientific data analysis mindset

o 第一步：明确现实中的问题 Step 1: Clarify the real problem to solve o 第二步：建立统计学假设 Step 2: Build a statistical assumption o 第三步：得出统计学结论 Step 3: Draw a statistical conclusion o 第四步：找到现实中的方案 Step 4: Find practical solutions

2:30 PM - 3:15 PM

使用AI工具轻松完成数据分析 Easy data analysis with AI tools

3:15 PM - 3:50 PM

案例分享 Case sharing

3:50 PM - 4:00 PM

问答交流 Q&A

Nadya Liu

遴科咨询总培训师

Master Trainer at Linke Consulting