The national comprehensive government service platform launched the "Traffic Big Data Travel Card" service launched by the Ministry of Industry and Information Technology, and incorporated the travel card information into the "Epidemic Prevention and Health Information Code" service of the national comprehensive platform. The "Communication Big Data Travel Card" service jointly launched by China ICT Institute and three major operators can be queried in one stop across operators, and has been widely used in many provinces in China.
Big data, or huge data, refers to information involving such huge data that it cannot be captured, managed, processed and arranged within a reasonable time by current mainstream software tools to help enterprises make more active business decisions.
In The Age of Big Data, co-authored by Victor Meyer-Schoenberg and Kenneth Cookeye, big data means that all data are used for analysis and processing, and there is no shortcut to random analysis (sampling survey). 5V characteristics of big data (proposed by IBM): volume (mass), speed (high speed), diversity (diversity), value (low value density) and authenticity.
Trend 1: resource utilization of data
What is recycling means that big data has become an important strategic resource for enterprises and society, and has become a new focus for everyone to grab. Therefore, enterprises must make strategic planning of big data marketing in advance to seize market opportunities.
Trend 2: Deep integration with cloud computing
Big data is inseparable from cloud processing, which provides flexible and extensible infrastructure for big data and is one of the platforms for generating big data. Since 20 13, big data technology and cloud computing technology have been closely integrated, and it is expected that the relationship between them will be closer in the future.
In addition, emerging computing forms such as the Internet of Things and the mobile Internet will also help the big data revolution and make big data marketing exert greater influence.
Trend 3: Breakthrough of scientific theory
With the rapid development of big data, just like computers and the Internet, big data is likely to be a new round of technological revolution. The related technologies such as data mining, machine learning and artificial intelligence may change many algorithms and basic theories in the data world and achieve scientific and technological breakthroughs.
Trend 4: The establishment of data science and data alliance.
In the future, data science will become a specialized subject and be recognized by more and more people. Major universities will set up specialized data science majors, which will also give birth to a number of new jobs related to them. At the same time, based on the basic platform of data, a cross-domain data sharing platform will be established. After that, data sharing will expand to the enterprise level and become the core of the future industry.
Trend 5: Data leakage is rampant.
The growth rate of data leakage may reach 100% in the next few years, unless the security of data can be guaranteed at the source. It can be said that in the future, every Fortune 500 company will face data attacks, regardless of whether they take security precautions. All enterprises, regardless of size, need to re-examine today's definition of security.
More than 50% of Fortune 500 companies will set up the position of Chief Information Security Officer. Enterprises need to ensure their own and customers' data from a new perspective. All data needs to be protected at the beginning of creation, not at the end of data preservation. Facts have proved that only strengthening the latter's security measures will not help.
Trend 6: Data management becomes the core competitiveness.
Data management has become the core competitiveness, which directly affects financial performance. When the concept of "data assets are the core assets of enterprises" is deeply rooted in people's hearts, enterprises have a clearer definition of data management. Taking data management as the core competitiveness of enterprises, the sustainable development, strategic planning and application of data assets have become the core of enterprise data management.
The efficiency of data asset management is positively related to the growth rate of main business income and sales income. In addition, for enterprises with internet thinking, the competitiveness of data assets accounts for 36.8%, and the management effect of data assets will directly affect the financial performance of enterprises.
Trend 7: Data quality is the key to the success of BI.
Enterprises that use self-service business intelligence tools for big data processing will stand out. One of the challenges is that many data sources will bring a lot of low-quality data. To be successful, enterprises need to understand the gap between raw data and data analysis, so as to eliminate low-quality data and get better decisions through BI.
Trend 8: The data ecosystem is becoming more and more complex.
The world of big data is not just a single and huge computer network, but an ecosystem composed of a large number of active components and multiple participating elements.
An ecosystem constructed by a series of participants such as terminal equipment providers, infrastructure providers, network service providers, network access service providers, data service enablers, data service providers, contact services, data service retailers, etc.
Now, the basic prototype of such a data ecosystem has been formed, and the next development will tend to the segmentation of the internal roles of the system, that is, the segmentation of the market; The adjustment of system and mechanism is the innovation of business model; The adjustment of system structure, that is, the adjustment of competitive environment. , making the data ecosystem more complex.
The above content source: Baidu Encyclopedia-Big Data