On October 14, I attended Big Data & Business Insights 2014 in Bangkok — the first public big data event in Thailand. I spoke about how to use big data to increase customer value in the age of the customer — a topic that seemed a bit distant from the audience’s daily reality. Most of them use traditional data warehouse and business intelligence tools and are new to big data solutions like Hadoop platforms, big data visualization, and predictive solutions. Here’s what I came away with:
Big data is still new to Thai businesses. Most big data projects in Thailand are still at the testing stages, and these trials are taking place in university labs rather than commercial environments. Dr. Putchong Uthayopas of the Department of Computer Engineering at Kasetsart University noted that big data projects in Thailand are now moving from pilot projects to actual usage.
Organizations need more details of real big data solutions. Thai businesses have held off investing in big data solutions because they felt uncertainty about the outcomes of big data projects. Attendees showed a lot of interest when I talked about big data usage in traditional industries, such as John Deere’s “Farm Forward” use case, which helped farmers make better decisions on what, when, and how to plant.
Tencent’s news portal is one of the largest online news portals in China, with more than 25 channels covering all types of news. Tencent faces fierce competition, which it intends to combat by building its analytics competency. With the eyes of millions of Chinese soccer fans on the World Cup, Tencent has a chance to better target its news and reports by using social analytics — which the news portal did by launching a mini-site of World Cup 2014 coverage. More than 50 advertisers showed interest in the World Cup site, thinking that it would differentiate Tencent’s news offerings and draw more traffic. And they were right: The site got more than 3 million hits in the first week of the Cup.
Tencent now has the first social analytics website for sports in China. Supported by IBM’s Social Analytics engine and hosted in its SoftLayer data center in Hong Kong, the site aggregates data from most leading Chinese social platforms including Qzone, Renren, Sina Weibo, and Tencent Weibo. Full coverage of these social platforms can help Chinese businesses get a fuller picture of customers to better personalize and target offers. Tencent’s news editors also have a separate social analytics tool to find buzzwords or popular terms on social platforms and highlight these attention-getting phrases in their titles and articles.
This investment is delivering two major benefits to Tencent: