Shulou(Shulou.com)06/02 Report--

When it comes to big data, some say it's "oil," some say it's "soil," and some say it's "means of production." I think they're all right, but they're all wrong. How do you realize the value of big data? This should be something people think about.

Today, it seems that many big data companies have found the password to realize the value of big data from specific business projects. On this road of exploration, we have witnessed the birth and decline of many unicorn enterprises and brands, such as freelancers, Didi Chuxing, China Good Parking, etc. As an important town of big data industry, the editorial team of Bainiaohe Digital Town (official website bnhszxz.com) summarized several business models for realizing big data value in combination with its own understanding and practice, for everyone to learn and refer to.

1. Flexible employment trading platform

Freelance guest is a brand-new mode bred under the sharing economy mode. At present, there are two carriers, APP and website, aiming at the flexible employment demand of enterprises and high-end talents. It has created an innovative mode of "platform +SaaS+ service." Based on big data analysis and AI, freelancers use the Internet to mediate so that enterprises and high-end freelancers and part-time talents can achieve accurate matching and free docking.

As a subsidiary of Guizhou Jiatai Lihua Information Technology Co., Ltd. and Shuanglong Aviation Soft Fund, freelance professional customers rely on Guizhou's big data resource advantages, and their business radiates all over the country.

2. Open data platform, API economic model

Such as Baidu data open platform, Tencent data open platform, etc., its market value is about 10 billion yuan. Characteristics of BAT open platform: ■ Tencent's opening is product-level opening, and core resources cannot be opened;■ Baidu's opening is technology-level opening, excessive opening, which is risk for Baidu;■ Ali's opening is the opening of industrial chain, but ecology is closed.

3. Big Data Exchange

April 15, 2015, Guiyang Big Data Exchange (Global Big Data Exchange, GBDEx for short) officially listed and operated and completed the first batch of big data transactions. It is the first big data exchange in China and even in the world. It is an innovative trading place providing data trading services nationwide. It aims to promote data circulation, standardize data trading behavior, maintain data trading market order, protect the legitimate rights and interests of all parties to data trading, and provide complete data trading, settlement, delivery, Comprehensive supporting services such as security assurance, data asset management and financing.

On May 26,2015, at the 2015 Guiyang International Big Data Industry Expo and Global Big Data Era Guiyang Summit, Guiyang Big Data Exchange launched the White Paper on China Big Data Transaction 2015 and the 702 Convention of Guiyang Big Data Exchange, which pointed out the direction for the nature, purpose, transaction object and information privacy protection of the big data exchange and laid the industrial foundation for realizing big data gold mine.

4. Research Report

In fact, the qualitative conclusions of most research reports are based on the results of big data analysis, which are common in "market research analysis and development consultation report," such as "market research analysis and development consultation report of China communication equipment industry from 2015 to 2020," etc. These consultation reports are oriented to social sales, which are actually O2O big data trading mode.

Analysis reports from all walks of life provide data reference for intellectual achievements, enterprise operations and marketing for a large number of enterprises in the industry, which is conducive to optimizing the supply chain, avoiding overcapacity and maintaining market stability. These are professional studies based on structured and unstructured data, which is the traditional one-to-many industry big data business model.

5. Own big data analysis platform

As the value of big data is gradually recognized by all walks of life, large and medium-sized enterprises with a large number of customer groups have also begun to develop and build their own platforms to analyze big data, and embed them into the ERP system information flow within the enterprise. The data guides the internal decision-making, operation, cash flow management, market development, etc. of the enterprise, which plays a role in increasing the value of the internal value chain of the enterprise. The following figure shows the business processing flow chart of an enterprise big data analysis platform:

Many organizations already have chief analytics officers in their strategic departments, organizing people with cross-departmental, interdisciplinary, knowledge structure, and marketing experience to conduct hybrid analytics on various types of data. Of course, software developers who provide "enterprise big data analysis platform" construction solutions will gradually grow and expand with the arrival of this wave.

6. Online trading platform for targeted procurement

Qualitative conclusions based on big data analytics are often the basis for business in other industries. However, there is currently no vertical online trading platform for virtual commodities such as data. For example, clothing manufacturing enterprises need to master the median and average data of height and weight of customers in a certain province market, so hospital physical examination departments and professional physical examination institutions are the suppliers of these data.

Based on the data, clothing companies can carry out refined production and produce clothing that meets market demand at a lower cost. If there is such a "big data oriented procurement platform," just like Taobao shopping, buyers 'demand can be initiated, and sellers' products can also be launched. Through such a model, plus a third-party payment platform,"data analysis conclusion" will quietly emerge. Because this kind of commodity does not occupy logistics resources, does not pollute the environment, and responds quickly, but there is a huge market for both supply and demand.

Fortunately, there are similar prototypes in China. For example, the [Report] column of Gypsophila paniculata and iResearch provides users with two kinds of "data analysis conclusion" download services for free and charge. In fact, we need more vertically oriented online trading platforms to accommodate the actual needs of current economic activity.

7. Traffic Value Analysis Platform

In this section, we take Baidu statistics as an example. As the world's largest Chinese website traffic analysis platform, this platform helps enterprises collect website visit data, provides various statistical analysis services such as traffic trend, source analysis, conversion tracking, page thermal map, user viewpoint, etc. Meanwhile, it seamlessly combines with Baidu search, Baidu promotion and cloud services to provide data support for refined operation decisions of websites, thus effectively improving the return on investment of enterprise websites.

Although the above lists several business models that have occurred or are occurring, they are still very partial in summary, and there is even the possibility of overlapping models. However, market experience shows that there is a commodity economy when there is buying and selling. Which big data monetization business model dominates will be determined by the market. The final facts will prove that the big data commodity economy will inevitably become an important part of "Internet +," and its economic returns will be greater and greater, which is worth investing in by entrepreneurs.

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