Data Visualization × Generative AI × UX Design — instructor, author & consultant
Founder of Knowmad Studio. “Everyone can learn data analysis.”
I’m Jack Peng (彭其捷), a Taiwan-based instructor and author who has worked with data for 15 years and published 12 books on data visualization, Tableau, Excel × AI, UI/UX and front-end development. My Excel + Tableau textbook has gone through 15+ printings and is adopted by many universities in Taiwan.
I love teaching. I have lectured and run workshops for 200+ organizations — including LINE, MediaTek, Foxconn, Momo, SYSTEX, KKday, Academia Sinica, ITRI, III and the Taiwan Academy of Banking and Finance — and I mentor the Data Analytics & Decision Club at National Taiwan University. I founded Knowmad Studio, a teaching team that promotes AI, data application and data visualization.
Data analysis should be a friendly tool that helps everyone make better decisions — not a skill reserved for a few specialists. With the right tools and basic data literacy, anyone can benefit, and generative AI has made this easier than ever.
Previously a data analyst, data project manager, front-end engineer and UX consultant — I enjoy problem-solving every day.
From data to decisions, from tools to thinking — a complete learning path for data analytics.
From literacy and management to hands-on technique — productivity workshops that turn AI into a daily work partner.
Hundreds of hours teaching the world’s leading BI tool, from first dashboard to advanced analytics.
Big-data and data-driven decision concepts, practical visualization — a decision framework anyone can pick up.
Interface design process and methods, design-thinking facilitation — products that feel right to users.
5,500+ learners, 4.9 average rating. Courses are taught in Mandarin (Traditional Chinese).
Published since 2014 across data visualization, Tableau, Excel, AI, UI/UX and front-end — several titles are in their 2nd or 3rd edition.
Full list with covers and links → 中文書籍頁
Banks and insurers, semiconductor and manufacturing, research institutes, government agencies and universities. Recent topics are dominated by generative-AI productivity and AI × Excel data analysis; Tableau, data thinking and UX remain long-running tracks.
Advisor to multiple organizations. Four focus areas: generative-AI workflow adoption, data analytics & visualization, Tableau rollout, and system UI/UX design.
Helping teams put generative AI to real work: mapping high-value use cases, designing prompts and human-AI SOPs, rolling out agents and automation, and measuring results — so AI moves from “chat” to daily output.
Broad experience across analytics and visualization problems; I use experience-design techniques to surface insight and help teams build decision flows people actually understand and use.
Helped many projects adopt Tableau or large-scale data systems; served as project advisor and committee member; continue to promote Tableau across Taiwan.
Worked on many large system interface and experience-design projects; areas include front-end engineering, mobile web design, usability testing methods and design-thinking coaching.
Sessions are delivered in Mandarin; slides and materials can be prepared in English on request. Happy to discuss in English by email.