Big Data-driven Technology Innovation: Concept and Key Problems

نویسندگان

  • Meng Li
  • Zhiqing Zhang
  • Zhuqing Hu
چکیده

In the background of big data, technological innovation has met some new opportunities and challenges. Based on expounding the concept and key technologies of big data, the concept, main data resources and characteristics of data driven technological innovation are analyzed. And some key problems of data driven technological innovation are discussed from technological and management perspective. From technological perspective, the key processes of data-driven technological innovation such as data acquisition, data processing, technology opportunity discovery and identification technology etc. are discussed and a technological framework is proposed based on Hadoop ecosystem. From management view, the idea of using big data to carry on operation and decision, matched decision-making culture and appropriate process, overall planning of large data applications and the stage of the target are analyzed as the main factors to affect the data-driven mode realization. This study has good values to the enterprises to build data driven innovative mode.

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تاریخ انتشار 2017