Currently, big data is becoming a powerful force to promote enterprise efficiency and management change, and some enterprises are utilizing the massive data brought by the Internet and the Internet of Things to win an advantage through mining, analysis and business applications. It is becoming a catalyst for economic prosperity, and in the United States, big data has been mentioned as a national strategy. But how to develop big data? From Singapore's experience, the government plays a key role.
The Singapore government has captured the five key elements of big data development: infrastructure, industry chain, talent, technology and legislation. It has played a key role in this, and it is particularly worth mentioning that these five elements are not possible for ordinary enterprises, and the Singapore government has filled the short board of enterprises.
In terms of big data infrastructure: a country's infrastructure in terms of information and storage, etc., determines whether the massive data in the big data era can be assembled, communicated, stored and applied. In order to provide a good foundation for the development of big data, Singapore has not skimped on infrastructure investment. Singapore is one of the world's top 10 high-speed network architectures and hosts more than half of the third-party data center storage in Southeast Asia. Singapore has established itself as a global data management hub, bringing together over 50% of Southeast Asia's commercial data hosting and neutral carrier data centers.
As for the big data industry chain: In the big data industry chain, it spans across including data providers, storage vendors, analytics and mining vendors, and application enterprises. For enterprises, they often only have the ability to apply, but lack the ability to obtain, store, and analyze and mine big data. And in this regard, of course, we have to rely on the corresponding service providers in the industry chain, but the government plays a key role in the construction of the industry chain.
In terms of data mining, universities are encouraged to set up data mining and analysis platforms. In 2012, Singapore Management University (SMU) launched the "Livelabs" innovation platform, which aims to enhance Singapore's data analysis capabilities in the areas of consumer and social behavior; enterprises are encouraged to set up data analysis centers. In 2011, Rolls-Royce and the Institute of High Performance Computing under the Agency for Science, Technology and Research (A*STAR) established the Computing Engineering Laboratory to conduct collaborative research in the area of intelligent data analytics.
The Infocomm Research Institute of Singapore (I2R) has one of the largest data mining teams in Asia.
Assuming the role of data provider and proactively disclosing data held by the government is crucial in the construction of big data because, after all, the government is the largest data owner. But getting governments to be able to proactively open up their data is not an easy task, and the Singapore government has done just that. OneMap, an electronic map developed by the Singapore Land Authority, provides an open data platform for location-based services (LBS) companies.
The Land Transport Authority of Singapore, on the other hand, opens up Singapore's transportation data through the Public **** Data Openness Program, which encourages companies and even individuals to develop applications that enhance the efficiency of public **** transportation.
Singapore's National Environment Agency (NEA, National Environment Agency) has partnered with a number of companies to look at ways to charge rainfall and, by having data on the environment in different areas, predict which area will next experience an outbreak of a disease that could arise in the tropics.
Big data talent: At present, enterprises tend to be most lacking in data talent in the process of applying big data, and it is important to give full play to the role of the government in fostering data talent. In order to become the world's leading data analytics center, the Singapore government's efforts in this regard can be said to be relentless.
It has partnered with businesses as well as local tertiary institutions to ensure that graduates gain the necessary expertise and skills. Currently, Singapore offers four master's programs as well as five undergraduate programs in the field of data analytics, providing a multidisciplinary approach to research focused on specific industry applications.
With the assistance of Singapore's Economic Development Board, Asia's leading university, the National University of Singapore (NUS), and IBM will collaborate to ****together establish the NUS Center for Business Analytics. The center aims to help current students as well as working professionals to enhance the latest career skills in the field of business analytics and lay the foundation for future data analytics jobs.
Big data technology: Big data storage, analysis and mining technologies and products often require huge investments, but the average business can not afford such investments, when the role of the government is particularly important. And Singapore in which there has never been a lack of position.
The Institute of Infocomm Research (I2R) and Chinese search engine giant Baidu are collaborating in the development of ASEAN natural language technology. This technology, if generalized, will create unprecedented opportunities for companies to enter the emerging ASEAN market. In addition, data analytics will be applied to analyze the social cognitive domain. The Institute of High Performance Computing (IHPC) in Singapore is one of the first to develop this technology. By modeling people's first impressions, companies can better understand Asian consumers. This technology can help companies predict consumer feedback on new products.
In terms of legislation: the development of big data is always accompanied by conflicts with the right to personal privacy, and the ability to explicitly protect the right to personal privacy through legislation is the key to the healthy development of big data, and Singapore has done a good job in this regard. Singapore published the Personal Data Protection Act (PDPA) in 2012. The PDPA, as a more permissive piece of legislation, is designed to guard against misuse of domestic data as well as personal data originating from outside the country. The introduction of the Act has enabled citizens to be more aware of the ways in which personal data can be used; it has also strengthened the level of trust between businesses and their customers in the process of carrying out personal information processing.
Based on collecting and storing large amounts of data, Singapore effectively analyzes and applies the data to derive economic value from it. By the end of 2017, the data industry is expected to contribute S$1 billion in value-added to the Singapore economy and train 2,500 cross-disciplinary data analytics professionals.
And all of this lies in Singapore's strategic positioning for big data, for the scarcity of natural resources in Singapore, "using data as a resource" is a very good choice, the Singapore Economic Development Board, Executive Director of Infocomm and Media Industry, Goh Beng Kong, "for Singapore, data is the currency of the future. In Singapore, data is the currency of the future, and what we are doing now is to make Singapore a global data management center, so that we have the ability to work with enterprises to transform the potential value of data into visible business profits."