The discussion on how to construct a servicing market of big data
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1 The discussion on how to construct a servicing market of big data Yu Tieqiang Software and Information Services Exchange
2 About Software and Information Services Exchange Founded in 2011, a young company. Promote the vitality of the market, reduce the transaction cost. Qualification Engage in 3 jobs. Construction elements of the market, such as software, big data and information markets. Market Software and information service Capital Technology and Finance Public service
3 Elements & Market Market rules merchandise Procedure Pricing Process Quality Rights & Obligations Service charge Service regulations Supervision Rules and procedures Product Talent Project Service In The tangible market The online market In Transferor Equity Obligatory Buyer Broker Seller Transferee Property Data Ability System Merchandise Exchange market Trader
4 Data Property Data Subsidiary production. Online business Data Productive elements. Internet Tranditional production Finance Big data market booming. New property. Government information Communication information
5 The Industrial Chain for Big Data Map
6 The Industrial Chain for Big Data Analysis The big data industry consists of 6 classes, 1. Infrastructure(NoSQL DB Hadoop products NewSQL DB MPP DB, and so on) 2. Analysis(Analysis solutions, Data visualization, Statistical calculation, Public opinion analysis, IT analysis and so on) 3. Application(Advertisement optimizing, Publication tool, Marketing, industry application) 4. The data source(data market Data source) 5. Cross infrastructure(business expansion) 6. Open source project(frame, Query/data stream, Data access, Statistical tool, Machine learning, Cloud business)
7 The market size of big data industry The industry of big data is a emerging industry Wikibon:Early 2012, the revenue from big data market/business is about 5 billion dollars. Now, the rapid growth period will come, the total market value will reach 50 billion dollars in next 5 years. CMIC(China Market Intelligence Center) consulting: The market size of China is 450 million dollars in 2012, the market size will reach to 10.1 billion dollars. Global market Chinese market
8 Productive forces from data asset How to transfer data asset to productive forces? Internal circulation, value mining and process optimization can improve the production efficiency of enterprises. Market circulation, between different industries or department, can improve the level of whole society. The value of data depends on the number of data sample and the convergence degree. The problem: assets and marketization Data standardization The safety of data, such as the protection of privacy How to let the data become production, how to make the price of data, of course its price can be decided by market, but what factors should be considered by buyer or seller during dealing data. Another problem, data commodity is different from physical goods, how to protect the right of data owners. The transaction channel.
9 the composing of data market Government Enterprise Trading platform Data items Delivery platform Security system Governme nt data. Data owner and buyer. How to transact? Rules, Standard, process Production & tool. Delivery channel. Rights Evaluation Dispute mediation.
10 The platform for data transaction Standard System Government data Commercial data Support system for data service The online system for data transaction The platform for data transaction The infrastructure, such as network, mainframe, storage, security and so on
11 Operation logic Government data financial Intermediation Evaluation Confirmation of rights Data info. Service info. Information issue Matchmaking Registration and Record Data Supply Transaction Data demand Goods on the shelves Third party guarantee Data products Data product Registration Deal information
12 My conclusion, Besides technology standards of big data, service standard also is important to boost big data industry.
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