Big Data era coming data change enterprise management

How will the coming data revolution change business, government services and even ordinary people's social life?

At the moment you were born: boy, 7 pounds 82, and your parents no longer argue about who you look like, because they already know everything about you. The computer calculates your genetic information, your birth environment, results of data analysis you will have 43% like your mother, 57% like your father, and everything in your future is clearly visible: your intellectual level determines that you will only go to a local university (you don't have to work too hard at Tsinghua, Peking University or Yale, Harvard), You are not good at skiing but are good at running (the long jump is not a good line) you're a heterosexual, skinny girl with brown hair. (Based on GPs and other information, she will be born next door to you next door, just two years later), you like Coke (You love Coca-Cola, Go to the supermarket without thinking about Pepsi or other brands ... If everything about you is doomed, when the real you come to the world, you are going to work hard to live a real life of their own, or to be calculated according to the computer "you" state over this lifetime?

This is not wishful thought, not alarmist, but a truth such as "Juvenile Pie" fable. Even if the Mayan prophecies of doom are unreliable, the evolution of large data technologies has driven humanity to the doorstep of a new world in which human flesh will coexist with the virtual self, sometimes indistinguishable from the other. The coming Big Data revolution is changing human society and life-you can't escape.

The arrival of the big data age

Kalev Leetaru, of the University of Illinois, found that "The New York Times has produced 3 billion words in the past 50 years, and today Twitter generates 8 billion words per day." "Yes, you admit it was a time of data explosion, but you might be more concerned about another question: what kind of data would be called Big data?"

Shiji, an expert in information technology management, thinks that "big" is a virtual point, and "big" in large data refers to the great value that human beings have to discover in the data. In his book Big Data, he discusses Moore's law, how pervasive computing, data mining, social media, and cloud computing work together to make big data happen: the growth of hardware storage performance and price reduction brought about by Moore's Law have created excellent price/performance prerequisites for large data; Pervasive computing provides the data layout of everything interconnected Data mining allows data to be known as actions, (a) knowledge of value generation; The 24-hour online social media enables people to use algorithms to predict public health and emergencies; The complete industrial chain formed by cloud computing and large-scale commercial applications provide storage space and access to large data ... The big data explosion means that people's social life will change dramatically.

A Twitter story might illustrate the problem--a start-up company in the heart of Paloato, in Silicon Valley, that specializes in analyzing public-major data. If a Middle Eastern person buys a one-way ticket into the United States, visits Disney for two consecutive times and buys chemicals, the analysis software warns that the software is popular with governments and big retailers. The big data is therefore seen by the U.S. government as the primary challenge in the field of technology. "How to collect, preserve, maintain, manage, analyze and share data that is growing exponentially is an important challenge that we must face," the president's Scientific and Technical Advisory Committee of the United States said in December 2010.

Indeed, statistics are one of the fundamental changes that big data will bring to many areas. Traditional statistics in the census and sampling methods are static and timed, can only provide instantaneous records. But the human itself is full of uncertainty, its action is continuous and dynamic, so large data can provide real-time, multi-source and traditional statistical fusion, will be relatively higher quality and timely statistical results.

The study of historical data will hopefully improve the social problems such as crime and city congestion. 3 universities in the United States and Britain have collaborated to enter the UK's 240-year criminal court records into computers to study trends in the development of crime, the causes of triggering, and the relationship between social contexts. The use of large data "microscopes" to observe human behavior, similar data applications will bring more social management model innovation. And the whole society will move toward the intelligence--the computer and the network are more intelligent, the cooperation between people, the connection between the task will be more accurate, the national and the society's running cost will be less and less.

Data change Business

In business society, the big data will be the new technology of innovation and competition. "Some companies have built every aspect of their business activities on data collection, analysis and action capabilities," Thomas Davenport, a professor of information economics, said in 2007. All companies can learn from their successes.

Shiji that today, regardless of whether the enterprise is voluntary, the enterprise itself has been in the data-enterprise internal information systems, ERP generated by each of the specific meaning and value of the data, and the external environment of the public-controlled social media, such as the production of fuzzy data, as well as social life of the population, Weather and other company external data. Negative information from social media may make the enterprise itself "hard" product quality, brand value, such as the internal strength of a fundamental change. "Lao Luo challenges Siemens Refrigerator" micro-broad event, enough to let every enterprise alert and focus on information from consumers. The momentary change of public problems such as weather is the information that enterprises must use well. Under extreme weather conditions such as torrential rains and extremely cold, the right companies can quickly capture business opportunities. such as feather clothing and other enterprises to understand this winter cold, advance procurement of raw materials will help them to occupy the market opportunities. This requires accurate data, represented by an information management system, to be integrated with external data from sources such as social media. Shiji that for companies, the same precise data in the past accounted for 90%, other data accounted for 10% of the situation will be changed, from the social media sources such as external data will account for more than 50%.

Data-based competition will improve the organization's day-to-day operational efficiency, identify areas and opportunities to save money; Based on data analysis results improve decision-making speed and quality, enhance predictive capacity, so as to better understand customer and market needs. Enterprises therefore have to learn to calculate the return on investment of data-the ratio of data value and data cost. Therefore, to reduce the cost of data, to increase the value of high-quality data is the direction of enterprise concern. Automation tools, the use of cloud storage can become a way for enterprises to reduce data costs, and social ERP for more and more comprehensive data collection, the establishment of data quality management team and process, the use of newer and more mature data tools to build data integration analysis platform is an effective way to increase data value. Among them, the familiar data mining, the Business Intelligence (BI) and the analysis (Analytics, refers to the enterprise all and the data related activity, including the performance and the risk analysis) and so on the tool, may carry on the multi-source and the real-time application in the big Data age.

The commercial application of a canon is Disneyland. Disney is the child and childlike innocence of adult paradise, each paradise has more than 100 projects, but each of the current waiting queue of people are often interesting to reduce. To this end, Disney uses more than 10-afternoon historical data, combined with weather, tourism and other data to predict each team each day of the required queue time, visitors can refer to this analysis to arrange their own tour in the park order. In order to deal with the emergency situation, the company also collects Twitter data to update the queue waiting time for each team. This can save each visitor an average of 4 hours per person, to enhance the fun of visitors to the park.

Big data is equally useful in the public domain. The Pennsylvania State Government analyzed the statewide cold pill sales, compared with the historical data of the system to determine whether there would be a large area of influenza, while analyzing the child's attendance rate, and comparing historical data, also to the Twitter text analysis, to real-time monitoring of regional influenza outbreaks, transmission and distribution.

(Responsible editor: The good of the Legacy)