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Hong Kong, CN

Welcome to the Alteryx Hong Kong User Group! Please join us in sharing experiences and knowledge.

Hong Kong User Group Leaders:

James Mullens

JJ Soh

Linda Lo

Eric Wong

Welcome & Guidelines

Find tips to make the most of your User Group experience.

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Join us to experience Self-Service Data Analytics – Alteryx Roadshow Hong Kong 2017 (1Nov)

Alteryx Partner

You are invited for joining us for the Alteryx Roadshow to see how self-service data analytics can simplify how you prepare, blend, and analyze data. 



Details of event are as below:


Date: Wednesday, November 1, 2017

Time: 14:00 – 17:00 HKT

Venue: Salon 5 of JW Marriott Ballroom, Level 3 ,  JW Marriott Hong Kong

Address: Pacific Place, 88 Queensway, Hong Kong



Event Agenda
14:00      Registration and Networking

14:30      Keynote: Empowering the Data Analyst
                Learn how analytics has evolved from brittle spreadsheets and complex coding to a more efficient
                way to prepare and blend data

15:00      Customer Testimonials 
                Hear from our Alteryx customers in Hong Kong on how they have deployed Alteryx within their
                organisations, the data challenges they have overcome and the benefits realised. 

15:30      Break 

16:00      Customer Panel Q&A 
16:30      Solution Presentation: Applying Self-Service Data Analytics 
                See how a repeatable workflow for analytics in Alteryx delivers deeper insights in hours,
                not weeks

17:00      Wrap Up and Q&A


Why Should You Attend?

Learn how you can:

  • Connect to and cleanse data from spreadsheets, data warehouses, cloud applications, and more
  • Easily join data from multiple sources, and repeat the process on demand using new data
  • Perform predictive, statistical, and spatial analytics using an intuitive user interface, without writing code
  • Take advantage of a scalable platform to deploy and share analytics, where teams can collaborate on business-critical decisions — quickly and easily.
  • Discover the types of information your data contains, where the information comes from, who is using it, and how it is used through highly social interactions.


The practical, educational and networking benefits of attending this event will help you advance your career and enable your organization with better decision making through self-service data analytics.


For seat reservation, please register via


For enquiry, please contact Mr. Kelvin Lo / Mr. Victor Lam at 2358 9827 or email to