As per Gartner the cumulative big data spending for the period 2011 through 2016 will reach over $232 billion. As of 2013 nearly two thirds of organizations have invested, or expect to invest, in big data technology in the next 24 months.
The topmost big data concerns of these organizations are:
• Improving customer experience
• Improving process efficiency
• Getting value from big data
After knowing these facts i was curious to know how Government organisations are getting benefitted by Big Data. While reading through some of the articles on the web I found an interesting piece of information that talks about how “Big Data analytics can help Beijing cut through the smog”. To tackle the air pollution problem China 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.
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.
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.
• Predict the amount of available renewable energy. The two largest suppliers of electrical power, State Grid and China Southern Grid, are prioritizing the development of alternative energy sources, especially renewables like wind and solar.