Event Details

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 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.

Agenda

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:...
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
view more
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

Speaker

  • Nadya Liu (遴科咨询总培训师 Master Trainer at Linke Consulting)

    Nadya Liu

    遴科咨询总培训师 Master Trainer at Linke Consulting

    Nadya老师,遴科咨询总培训师,美国宾夕法尼亚州立大学工业工程硕士,美国质量学会ASQ认证黑带大师,人民邮电出版社《培训师养成手册》作者。拥有10+年卓越运营及战略落领域实战经验曾在大型外资跨国企业负责企业卓越运营,后在全球知名的战略咨询公司担任管理咨询顾问,曾帮助众多世界500强客户解决战略、运营等领域问题。擅长数据分析工具、问题解决与决策、精益六西格玛、员工职场技能、内训师培养领域的培训与辅导,开发20+门企业培训,授课近千场,培训学员10000+人,遍布40+个国家。

    Nadya Liu, Master Trainer at Linke Consulting, holds a master’s degree in Industrial Engineering from Pennsylvania State University and is an ASQ-certified Master Black Belt. She is the author of “Trainer Development Handbook” and brings over 10 years of experience in Strategic Analysis and Operational Excellence. Her background includes leading Operational Excellence in multinational corporations and serving as a management consultant for a global firm, where she helped Fortune 500 companies address strategic and operational challenges. Nadya specializes in training and coaching across data analytics, problem analysis & solving, Lean Six Sigma, professional skills, and internal trainer development. She has created 20+ training programs, delivering around 1,000 sessions to over 10,000 participants across 40 countries.

    view more

Tickets

Please provide your full name, company name, job title and work email for registration.  AmCham Shanghai reserves the right to decline any non-member registrations with missing information.

Member Tickets
Member Price Complimentary
Member Company Employee Tickets
Standard Price Complimentary
Non-member Tickets
Standard Price RMB 300

Venue

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ICC Club
Suzhou, Jiangsu, China

If you have any questions please contact Ailva Tan

Contact Organizer

+86 51262930200

Show on map