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The world contains an unimaginable amount of digitized information that becomes more and faster ...... From business to science, from government to the arts, this impact is everywhere. Scientists and computer engineers have coined a
new term for this phenomenon: teh big data land. What does it mean to look at the era of big data What does it mean to look at the concept of big data What does it mean to look at big data analytics What does it mean to look at the so-called big data, so what exactly is big data, where does he come from, and what exactly is the definition of
What does it look at
One: the definition of big data.
1, big data, also known as the huge amount of information, refers to the amount of data involved in the huge scale of information to the human brain or even mainstream software tools, in a reasonable time to achieve capture, management, processing, and organize to become more positive purpose of information to help business decision-making.
2. Big data technology refers to the ability to quickly obtain valuable information from a variety of types of big data, including data collection, storage, management, analysis, mining, visualization and other technologies and their integration. Technologies applicable to big data
include massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.
The Internet is an amazing big network, big data development is also a model, you if you really want to understand the big data, you can come here, this cell phone's beginning number is one eight seven in the middle of the three children zero last is one four two five zero, according to the order of the combination can be found, I would like to say that, unless you want to do or to understand this aspect of the contents of the content, if it is just a hilarious words, do not come.
3, big data application, refers to a specific collection of big data, integrated application of big data technology, to obtain valuable information behavior. For different fields, different enterprises of different businesses, and even the same field of different enterprises of the same business, due to differences in their business needs, data collection and analysis and mining objectives, the use of big data technology and big data information systems may also have considerable differences. The only way to fully realize the value of big data is to adhere to the synchronous development of the three aspects of the object, technology, and application
To fully realize the value of big data.
When your technology reaches its limits, that's when the data reaches its limits. Big data isn't about how it's defined, it's most importantly about how it's used. The biggest challenge is which technologies make better use of the data and how well big data is being used. This is compared to traditional databases, the rise of open source big data analytics tools such as Hadoop, and what is the value of these unstructured data services.
Two: types of big data and value mining methods
1, the types of big data can be broadly divided into three categories:
1) Traditionalenterprisedata: including CRM systems of consumer data, traditional ERP data, inventory data, and accounts data.
2)Machine and sensor data (Machine-generated/sensor data): including call records (CallDetail Records), smart meters, industrial equipment sensors, equipment logs (usually Digital exhaust), transaction data.
3) Socialdata: including user behavior records, feedback data, etc.. Such as Twitter, Facebook and other social media platforms.
2, big data mining business value of the method is divided into four:
1) customer group segmentation, and then customize special services for each group.
2)Simulate the real environment to discover new needs and improve the return on investment.
3)Strengthening departmental links to improve the efficiency of the entire management chain and industrial chain.
4)Reduce service costs and discover hidden clues for product and service innovation.
Three: Characteristics of Big Data
The industry usually uses the 4 Vs (i.e. Volume, Variety, Value, and Velocity) to summarize the characteristics of Big Data. Specifically, big data has four basic characteristics:
1, is a huge volume of data
Data volume (volume) is large, referring to large data sets, generally in the size of 10TB or so, but in practice, many business users put multiple data sets together, has formed a petabyte of data volume; Baidu information shows that its new home page navigation needs to be provided daily data more than 1.5PB. Provide more than 1.5PB of data (1PB = 1024TB), these data if printed out will be more than 500 billion pieces of A4 paper. Some information confirms that, so far, the human production of all printed materials, the amount of data is only 200PB.
2, is a large category of data and a variety of types
Data category (variety), data from a variety of data sources, data types and formats are becoming more and more rich, has broken through the previously limited scope of structured data, including the semi-structured and unstructured data. data. Nowadays, the type of data is not only in the form of text, but also in the form of pictures, videos, audios, geographic location information and other types of data, with personalized data accounting for the absolute majority.
3, is the processing speed
In the case of a very large amount of data, but also able to do real-time data processing. Data processing follows the law of one second, and can quickly obtain high-value information from various types of data.
4, is the value of high authenticity and low density
Data authenticity (Veracity) is high, with the interest of social data, enterprise content, transaction and application data and other new data sources, the limitations of the traditional data sources are broken, the enterprise more and more need to be effective in the power of the information in order to ensure its authenticity and security. In the case of video, for example, an hour's worth of video may be useful for only a second or two of data during uninterrupted monitoring.
Four: the role of big data
1, the processing and analysis of big data is becoming a new generation of information technology integration of the application of the node
Mobile Internet, the Internet of Things, social networking, digital home, e-commerce, etc. is a new generation of information technology applications, these applications continue to generate big data. Cloud computing provides a storage and computing platform for these massive and diverse big data. By managing, processing, analyzing and optimizing data from different sources, the results will be fed back into the above applications, which will create huge economic and social value.
Big data has the energy to catalyze social change. But unleashing that energy requires rigorous data governance, insightful data analysis, and an environment that inspires managerial innovation (Ramayya Krishnan, Dean, Heinz College, Carnegie Mellon University).
2. Big data is the new engine for sustained and rapid growth of the information industry
New technologies, products, services, and business models for the big data market will continue to emerge. In the field of hardware and integrated equipment, big data will have an important impact on the chip, storage industry, will also give rise to integrated data storage and processing servers, memory computing and other markets. In the field of software and services, big data will trigger the development of rapid data processing and analysis, data mining technology and software products.
3, the use of big data will become a key factor in improving core competitiveness
Decision-making in various industries is being transformed from a business-driven
to a data-driven one. The analysis of big data can enable retailers to grasp the market dynamics in real time and quickly respond; can develop a more accurate and effective marketing strategy for business to provide decision-making support; can help businesses to provide consumers with more timely and personalized service; in the medical field, to improve diagnostic accuracy and effectiveness of medicines; in the field of public **** business, big data has also begun to play an important role in promoting economic development, maintaining social stability, and so on. and other aspects of the important role.
4, big data era of scientific research methods and means will undergo significant changes
For example, sampling is the basic research method of social science. In the era of big data, the massive behavioral data generated by research subjects on the Internet can be monitored and tracked in real time, mined and analyzed to reveal regularities and propose research conclusions and countermeasures.
Five: the commercial value of big data
1, the customer group segmentation
To tease the big data land can be subdivided into groups of customers, and then take unique action on each group tailor-made. Targeting specific customer segments for marketing and service is an ongoing pursuit for businesses. The massive amount of data stored in the cloud and the analytics of Big Data Land make it possible to cost-effectively segment consumers in real time and at extreme levels.
2. Simulation
Using big data to simulate real-world scenarios, we can uncover new demand and improve return on investment. More and more products are now equipped with sensors, and the proliferation of automobiles and smartphones has led to an explosion in the amount of data that can be collected, as well as the massive amounts of data being generated by social networks such as Blogs, Twitter, Facebook, and microblogs.
Cloud computing and big data analytics allow merchants to cost-effectively store and analyze this data in real time, along with data on transaction behavior. Transaction processes, product usage and human behavior can all be digitized. Amusing Big Data Land technology can integrate this data for data mining, so that in some cases model simulations can be used to determine which program
has the highest return on investment given different variables (e.g., different promotional programs in different regions)
.
3. Improve return on investment
Improve the degree of sharing of the results of big data in the relevant departments, and improve the return on investment of the entire management chain and industry chain. Departments with strong big data capability can share the results of big data with departments with weak big data capability through cloud computing, Internet and internal search engine to help them create business value by using big data.
4, data storage space rental
Enterprises and individuals have the need to store massive amounts of information, and only by properly storing the data is it possible to further explore its potential value. Specifically, this business model can be subdivided into two categories for personal file storage and for enterprise users
These two categories are mainly through easy-to-use APIs. Primarily, through easy-to-use APIs, users can conveniently place various data objects in the cloud and then charge for them on a per-use basis, just as they do with water and electricity. Several companies have already launched corresponding services, such as Asia
Masson, NetEase, Nokia and so on. Operators have also launched corresponding services, such as China Mobile's colorful cloud business.
5, management of customer relations
The purpose of customer management applications is based on customer attributes (including natural attributes and behavioral attributes), from different perspectives, deep analysis of customers, understanding of the customer, as a way to increase new customers, improve customer loyalty, reduce customer turnover, improve customer spending, etc.. For small and medium-sized customers, specialized CRM is obviously big and expensive. Many small and medium-sized businesses use FMS as a primary CRM. For example, adding old customers to the FMS group, posting new
product previews, special sales notices, and completing pre-sales and after-sales services in the group's circle of friends.
6, personalized and accurate recommendations
Inside the operator, according to user preferences recommended all kinds of services or applications is common, such as application store software recommendations, IPTV video program recommendations, etc., and through the correlation algorithms, text summary extraction, sentiment analysis, and other intelligent
analysis algorithms, you can be extended to the commercialization of the service, the use of data mining techniques Help customers to carry out accurate marketing, future earnings can come from the share of the value-added part of the customer.
Taking the daily spamming as an example, the information is not always spammy because the people who receive it don't need it and it is regarded as garbage. After analyzing user behavior data, we can send the needed information to the people who need it, so that the spam becomes valuable information. At McDonald's in Japan, users download coupons on their cell phones and then go to the restaurant to pay for the coupons with the mobile wallet of the operator DoCoMo. The operator and McDonald's collect relevant consumption information, such as what
burgers they often buy, which stores they go to, and how often they consume them, and then accurately push the coupon to the user.
7, data search
Data search is not a new application, with the arrival of the era of big data, real-time, full-scope search needs to become increasingly strong. We need to be able to search various social networks, user behavior and other data. The value of its commercial application is to link real-time data processing and analysis with advertising, i.e., real-time advertising business and social services for in-app mobile advertising.
Operators grasp the user's online behavioral information, so that the data obtained by the teaser has a more comprehensive dimension, more commercial value. Typical applications include China Mobile's Pangu Search.
6: The important impact of big data on the economy and society
1, can promote the realization of huge economic benefits
such as the contribution to the growth of China's retail net profit, reduce the manufacturing industry product development, assembly costs and so on. It is expected that in 2013 the global big data directly and indirectly pull information technology spending will reach 120 billion U.S. dollars.
2, can promote the enhancement of the level of social management
Big data in the field of public **** services, can effectively promote the relevant work, improve the relevant departments of the decision-making level, the efficiency of services and the level of social management, resulting in huge social value. Several European cities have analyzed real-time traffic flow data to guide motorists in choosing the best paths to improve urban traffic conditions.
3, if there is no high-performance analytical tools, the value of big data will not be released
The application of big data must maintain a clear understanding of the results of the analysis can not be superstitious, but also because of its incomplete accuracy and to negate its important role.
1)Due to various reasons, the data objects analyzed and processed will inevitably include a variety of erroneous data, useless data, coupled with data analysis as the core of big data technology, artificial intelligence and other technologies have not yet fully matured, so the results of the computer to complete the analysis and processing of big data can not be required to be completely accurate. For example, Google through the analysis of hundreds of millions of users search content can predict the flu outbreak faster than professional organizations, but due to the interference of useless information on the microblogging, this prediction has also been inaccurate many times.
2) It must be clearly positioned that the role and value of big data is focused on being able to guide and inspire the innovative thinking of those who apply big data to assist in decision-making. Simply put, if you are dealing with a problem, usually people can think of a method, and big data can provide ten reference methods, even if only three of them are feasible, but also the solution to the problem of the idea of expanding three times.
So, objectively recognizing and playing the role of big data, without exaggerating or minimizing, is the premise of accurate perception and application of big data.
Seven: Finally, Beijing Kaiyun Union gives you a summary
Whether the core value of big data is not prediction, but based on big data to form a decision-making model has brought a lot of business profit and reputation.
1, from the value chain of big data to analyze, there are three modes:
1) hand in hand with big data, but did not take advantage of it; more typical is the financial institutions, the telecommunications industry, government agencies and so on.
2)No data, but know how to help people with data to utilize it; more typical of IT consulting and services companies, such as Accenture, IBM, Oracle and so on.
3)Have both data and big data thinking; more typical is Google, Amazon, Mastercard and so on.
2, the future of the most valuable in the field of big data are two things:
1) people with big data thinking, this kind of people can transform the potential value of big data into practical benefits;
2) has not been touched by big data business areas. These are untapped oil wells, gold mines, and the so-called blue oceans.
Big data is a typical field of close integration of information technology and professional technology, information technology industry and various industry sectors, with a strong demand for applications, broad application prospects. In order to grasp the new opportunities brought by this emerging field, it is necessary to constantly track and study big data, constantly improve the knowledge and understanding of big data, adhere to the synergistic *** advancement of technological innovation and application innovation, accelerate the development and utilization of big data in all fields of the economy and society, and promote the national, industry and enterprise application demand and application level of
data to enter a new stage.