Big Data Analytics Can Help Beijing Cut Through The Smog

China faces a growing air pollution problem — one of the consequences of its significant economic growth over the past two decades. Surrounded by a large number of coal-burning factories in Hebei province, Beijing faces ever-worsening smog. To tackle this problem, city government has implemented new policies and laws, such as the Beijing Air Pollution Control Regulations, that provide guidance to technology vendors developing smog control solutions.

Source: AFP

Optimized Energy Management Is The Key To Reducing Air Pollution

Beijing’s government is focusing on air quality monitoring and has invited tech vendors like Baidu, IZP Technologies, and Yonyou to develop solutions. The city wants to show the source of pollutants and how they will disperse across Beijing a couple of days in advance — but that doesn’t do anything to reduce the smog itself. Rather, the key to reducing air pollution is changing how China consumes energy. For example, the government could use big data analytics to:

  • Optimize factories’ energy consumption. Asset-intensive industries like steel, cement, and chemicals face challenges in analyzing the vast amounts of data generated by energy-monitoring sensors and devices. Tech vendors like Cisco and IBM could leverage their Internet of Things data analysis technology to help customers turn this data into actionable insights. For example, one steel factory in Hebei province is considering technology that identifies when an oxygen furnace is wasting energy because the temperature of the output smoke is too high.
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Tencent’s News Portal Is Differentiating Itself By Using IBM Social Analytics During The World Cup

Contributed by James McCormick and Allison Smith

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:

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