Limited places remaining, register your complimentary seat today.

*This event is by invitation only.

11:30 am
Registration and Networking Reception
11:50 am
Welcome
11:55 am
Customer Insights I - Turning Big Data into Business Talk

Speaker: Mr. Dick Ho, Assistant General Manager, Head of Mass Retail, Bank of China (Hong Kong) Limited
12:20 pm
Customer Insights II - Business Analytics – Market Trend, Research Opportunities and Industry-academia Collaborations

Speaker: Professor Mike So, HKUST and Co-regional Director of the Hong Kong Chapter, PRMIA

12:45 pm

Luncheon Commences

1:05 pm
SAS - Working with Modern Analytics
See how SAS works alongside open-source to enable discovery and prototyping and delivers a versatile architecture that satisfy the business demand for robust and scalable performance, without the need for scarce and expensive skills

Speaker: Mr. Deepak Ramanathan, Chief Technology Officer, Asia Pacific, SAS
1:25 pm
Realize the Promise of Big Data
Hear how real customers put analytics to work with Hadoop. Examples and use cases demonstrating the value of disruptive technology to tap into the almost infinite volume and variety of data and the power of the problem-solving mindset.

Speaker: Mr. Ramez Younan, Managing Director, PCCW Solutions
1:45 pm
Q&A + Closing remarks
2:00 pm
End of event

 

Questions?

Contact SAS Hong Kong Marketing on hkmarketing@sas.com or +852 2568-4280

Date:
Wednesday 9 December 2015

Time:
11:30 am - 2:00 pm

Venue:
Jade I & II, Level 3,

The Ritz-Carlton,

ICC, Austin Road West,

Kowloon


 

Who should attend:

  • CIO, CMO, CEO
  • IT Directors
  • Head of Business Units
  • Head of Analytics

Notice Concerning Training, Education, Food, Refreshments or Other Gifts Provided by SAS
At this event SAS will provide you items that may be subject to gift rules applicable for your organization. We respect these rules and encourage you to clear your receipt of these items with your organization. If you prefer, you may pay fair market value and receive a receipt for the items at sas.com/paysas.

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