Abstract: This study explores the incubation mechanism of big data value by the total sample analysis, indicating a linear process as “value gestation-value germination-value expansion-value breakthrough”. This study also shows that data gathering quality, data analyzing capability, application transferring path and the thinking of big data and such requisites are essential to accomplish the big data value incubation process. Three incubation patterns are then brought forward, including the indigenous incubation, relay innovation and crowdsourcing. This study reveals that: 1) the data analysis itself is the process of big data value germination; 2) The innovative applications of big data can be broken down into two steps, the routine using and the application transferring.

摘要： 采用全样本分析方法研究大数据价值的孵化机制，构建了一个“价值孕育-价值萌发-价值膨胀-价值突破”的大数据价值孵化线性过程模型，提出孵化大数据的价值需要具备数据资源汇聚水平、数据分析能力、转移应用途径和大数据思维等条件，并归纳出自主孵化、接力创新和众包等三种主要的孵化方式。文章特别指出：1）数据分析本身就是大数据价值萌发的过程；2）对大数据的创新性应用应该细分为常规应用和转移应用两个环节。