Big data will now have three major development trends in the future
? With the rapid development of the mobile Internet, the Internet of Things and other new data sources continue to appear, and the growing total amount of data in China, making big data an important resource, which is conducive to promoting business innovation in various fields of retail, tourism, health care, finance, telecommunications, and government public **** services.
Big Data Transforms Enterprise Business Models
From IT giants and vendors of single big data business in the offline big data market (big data application and big data platform business market for IT enterprises) are beginning to move to optimize their product and service roadmaps; the maturity of the online big data market (Internet user data market, and the online financial market, which is dominated by Internet finance) is gradually increased, with online big data applications centered on finance and retail maturing and the market volume further expanding. Enterprises are focusing on cultivating data assets and actively exploring data realization, and industry big data is more clustered and less integrated.
The overall layout of the big data industry chain is complete, but the degree of competition in local links is clearly differentiated. In the data collection link, the comprehensive big data source market is in the stage of structural integration, and the vertical big data source market is in the stage of layout; the market structure of the data storage and data mining link is stable, and the international giants are monopolizing the market, and the oligopoly pattern has been formed, which is difficult for domestic enterprises to surpass in the short term; the data application link is an opportunity for domestic enterprises, but the technology is still immature.
The industry chain of each link is affecting the transformation of business models. Mode 1: using storage capacity for operation to meet the needs of enterprises and individuals facing massive information storage; Mode 2: predicting the behavior of relevant subjects after mining and analyzing the data to conduct business; Mode 3: directly renting and selling information or providing a platform for renting and selling information; Mode 4: IT service providers provide a big data space rental model by renting out a virtual space from a simple file storage, and Gradually expand to the data aggregation platform; Mode 5: For enterprise demand, provide solutions for a certain part of the operation or a certain business problem, implement single-point technology, such as providing big data analysis technology to retailers to get marketing ideas; Mode 6: For enterprise system demand, provide overall solutions; Mode 7: BDaaS (Big data as a service), data application as a service (BDaaS), a data application as a service model that provides online big data technology or solutions through cloud services.
According to the industry investment structure data of China's big data market in 2014 by Econometrics, finance, communication, and retail are the top three industries, with investment percentages of 16.0%, 15.6%, and 13.9%, respectively. Government, healthcare, and tourism accounted for 12.7%, 9.0%, and 4.1% of investment respectively. The cumulative share of the six major industries was 71.3%. Other industries include education, manufacturing, energy, media, and internet, with a cumulative share of 28.7%. Big data industry clusters are gradually being formed, that is, for enterprises, with cloud-based big data clustering as a prerequisite, and industry cloud services as a platform to *** enjoy inter-enterprise core competitiveness.
Three major trends in the big data market are becoming apparent
The big data market will show the following development trends in the future:
First, the data ecosystem composite degree of strengthening. The world of big data is not just a single, huge computer network, but an ecosystem consisting of a large number of active components and multiple participant elements, terminal equipment providers, infrastructure providers, network service providers, network access service providers, data service enablers, data service providers, touchpoint services, data service retailers, and so on a series of participants **** with the construction of the ecosystem. Now, the basic shape of such a set of data ecosystem has been formed, the next development will tend to the role of the system within the subdivided, that is, the market segmentation; the adjustment of the system mechanism, that is, the innovation of the business model; the adjustment of the structure of the system, that is, the adjustment of the competitive environment and so on, so that the data ecosystem composite degree of gradual enhancement.
Secondly, data management becomes a core competency that directly affects financial performance. When the concept of "data assets are the core assets of an enterprise" takes root, enterprises will have a clearer definition of data management, which will be the core competitiveness of the enterprise, sustainable development, strategic planning and utilization of data assets, and become the core of the enterprise's data management. The efficiency of data asset management is significantly positively correlated with the growth rate of main business revenue and sales revenue; in addition, for enterprises with Internet thinking, the proportion of data asset competitiveness is 36.8%, and the management effect of data assets will directly affect the financial performance of enterprises.
Third, the controller of the core elements of the industry dominates the data ecosystem. The core links in the data ecosystem are the core elements of the industry, such as e-commerce payment, logistics, and information (credit). Mastery of the core elements of the industry if the enterprises to follow the trend, grasp the opportunities of the big data era, the enterprise's own core competitiveness advantages to further release, the use of Internet thinking, through the industry's core elements of the big data to control the data ecosystem of the main ecological chain, so as to ultimately realize in the age of the digital economy once again take off.
Big data application to promote the development of various industries
Further through the data-driven operation and marketing, the retail enterprises will be member-centric management optimization, through the human-centric data-driven, decision-making optimization and precision marketing. The industry will explore more and more new modes of big data marketing, and all types of retailers will actively experiment with new opportunities, such as microstores, to find new trends in consumer preferences. Continuously enriching external data sources, while enterprises' own offline data collection capabilities continue to improve, cooperation with richer external data sources will rapidly improve marketing accuracy, including authoritative market research organizations, leading Internet giants, etc.
The application of tourism big data is to establish data unification standards as soon as possible, establish unified data exchange standards, regional tourism data integration, national tourism data integration. Realize the three-screen unification of big data (big screen of tourism supervision, big screen of scenic spot announcement, and cell phone screen of tourists).
By utilizing the EHRs data of medical services, the settlement and expense data of hospitals and health insurance, the academic, social, and governmental data of medical research, the pharmaceutical, medical device, and clinical trial data of medical vendors, the behavioral and health management data of the residents, the government's demographic and public ****health data, and the data generated by the network of the social and economic life of public ****, we can provide a platform for the healthcare industry to develop drugs, research and development, disease treatment, public ****healthcare, and other aspects of healthcare. R&D, disease treatment, public **** health management, residents' health management, and health risk factor analysis to provide accurate data support.
Under the traditional financial operation model, financial institutions are not capable of assessing consumers' credit status, consumption ability, and willingness to consume, leading to overpricing of products and services in some financial areas, and part of the area has become a residual market, which is still a gap with the actual financial requirements. Big data will help promote data aggregation in the financial and banking industry, mining value based on the overall data of the industry, promoting the development of the industry, and promoting the innovation of business models. The main value of the current application of big data in the financial industry lies in financial risk management, consumer intelligence, intelligent operation and so on.
Telecommunications enterprises from the traditional data era to the era of big data. Due to the production and operation needs of telecommunications companies, their own production management system already has a huge amount of customer-centric organization of a unified view of the data resources. Big data can improve network service quality and enhance pipeline intelligence for the telecom industry; provide more accurate insight into customer needs and enhance market competitiveness; upgrade industry informatization solutions and enhance customer value; and provide data security services to establish a differentiated competitive advantage in the big data market.
Big data is not only a massive state of data and its corresponding data processing technology, but also a way of thinking, an important infrastructure, a fundamental social system that affects the operation of the entire country and society. It is the management of traffic congestion, haze, difficult to see a doctor, food safety and other "urban diseases" of the tool, but also for the government to open the policy window to understand public opinion, to create a platform for the government, service-oriented government, open government, i.e., smart government. Its application value is: to strengthen the overall planning, optimize the formation mechanism of big data; to strengthen the data collection and information perception, improve the perception level of the smart city; to promote the application of big data, improve the level of economic and social intelligence.
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