Big Data Thinking and Decision Making Exploring the Way to Use for Reference in the Decisive Market of Enterprises

• Main Authors: WANG, CHUN-CHIEH, 王俊傑
• Other Authors: SU, CHIEN-CHOU
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/8469mj

碩士 === 世新大學 === 傳播管理學研究所(含碩專班) === 107 === Ma huateng, chairman and CEO of tencent, said in a speech at China's "" Internet plus" "digital economy summit in 2017:" "what is the future trend of cloud?Artificial intelligence?Big data?The future is to process big data with artificial intelligence in the cloud. "(ma huateng's speech, netease news, April 20, 2017) In the 2018 China "Internet plus" digital economy summit, it was further pointed out that "Internet plus" is the means, while digital economy is the result. This process can also be understood as "one vertical", "one horizontal" and "a new"."Longitudinal" means the integration of the Internet with various vertical industries, and the rapid expansion of the digital process from the economic field to the social field, bringing opportunities for innovation and opening up new prospects. Ma huateng's two consecutive years of talks outlined the development of cloud technology, so that enterprises can effectively use the ability of big data in operation, with data-driven strategy formulation, business model adjustment, so that enterprises battle the market strategy, under the big data-driven for enterprises to usher in a new opportunity. In order to ride the wave of big data, it is natural to have data capital operation data, data capital, and data. Enterprises should not transform into digital enterprises. However, if digital enterprises have data, can they go anywhere?This may involve that the operational thinking of enterprises has not been transformed with the application of big data, without really understanding what is big data and only seeing digital data?Or maybe it is for the digital transformation and transformation, not exactly fit their own business development to find the point of digital transformation, in the process of taking too many detours?In the process of operation management, digital management do not reach the designated position, natural in operational data will have a deviation, can't really clear goal, therefore, this study attempts to through the case study enterprises face under the wave of big data, in the face of market competition and internal operations in big data when making digital transformation, how to manage the digital?How can external competition effectively operate data and achieve innovative development in the market? Through secondary data analysis and in-depth interviews at the same time operating large data of related industries, and analysis of the current industry status of enterprise digital transformation, to explore the general enterprises how to reference data management in the application of large data, as their own digital operation transformation of reference, to observe the influence of big data applications to the enterprise operation, and put forward the advantages of big data to business operation and the existing problems and future development trend and Suggestions.As a reference for future academic research, or to provide some help and Suggestions for the industry in the process from digital operation to operational data.