苏州 | AI+职场中的正确数据分析思维 AI+ Data Analytics Mindset in the Workplace (Chinese Session with English Subtitles)


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邀您参加将于5月19日(星期二)下午 2:00-4:00 于苏州环贸ICC举办的AI+职场中的正确数据分析思维分享会。
在瞬息万变的商业环境中,许多职场人深陷决策困境——面对关键业务选择时,要么依赖模糊的经验直觉,要么被海量数据淹没却无法提炼有效结论。当KPI下滑时,团队常陷入反复试错的恶性循环;当老板追问决策依据时,只能给出缺乏数据支撑的苍白解释;当汇报被挑战方案合理性时,只能以”行业惯例”搪塞却拿不出有说服力的证据。更令人焦虑的是,掌握AI数据分析工具的人已能够迅速分析解决问题,而自己仍困在手工处理数据的低效流程中。本次活动将解决以上问题,通过分享科学有效的数据分析思维方式和AI数据分析工具,帮助参与者轻松建立数据导向的职场决策思维。
目标学员
有数据分析和决策需求的各类职场人士,不限行业和岗位。
*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 volatile business landscape, professionals face critical decision-making dilemmas — relying on vague intuition when making key business choices or drowning in data without extracting actionable insights. Teams often spiral into trial-and-error cycles when KPIs decline; when questioned by leadership, they lack data-backed justification, and when challenged on solutions, “industry norms” replace evidence-based arguments. Compounding this, AI-empowered colleagues solve problems at speed while others remain trapped in manual data processes. This event will address the above challenges by sharing scientifically grounded and effective data analysis frameworks alongside AI-powered data analysis tools, helping participants effortlessly build a data-driven decision-making mindset in the workplace.
Target Audience
Professionals across all industries and roles who have needs in data analysis and decision-making.
*NOTE: The event will be in Chinese, with English subtitles for reference.
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1:45 PM – 2:00 PM
签到 Check-in
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2:00 PM – 2:05 PM
苏州环贸ICC介绍 Suzhou ICC Introduction
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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 solveo 第二步:建立统计学假设 Step 2: Build a statistical assumptiono 第三步:得出统计学结论 Step 3: Draw a statistical conclusiono 第四步:找到现实中的方案 Step 4: Find practical solutions
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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
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3:15 PM – 3:50 PM
案例分享 Case sharing
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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
REGISTRATION
To register for the event, click ‘Read more’ below or scan the QR code


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