在大数据条件下，制定标准方式顺利实现的必要保障为强有力的组织和制度，同

Under the conditions of big data, the necessary guarantee for the smooth realization of the standard method is a strong organization and system. At the same time, organizations need to hire big data experts, formulate enterprise big data standards, and implement data standards into existing systems. The practice of overthrowing the original system will cause many controversies. The standards for mass data, such as data quality standards, data storage standards, and data analysis standards, will eventually be impossible to implement because of the large amount of data. Therefore, under the condition of big data, the feasibility of adopting the overall standardization method to realize the enterprise global data sharing is very low.

Under the condition of big data, the necessary guarantee for the smooth realization of standard-setting method is a strong organization and system, and the organization needs to hire big data experts to develop enterprise big data standards and implement data standards into existing systems. The practice of pushing the original system back and forth will cause a lot of controversy, and the standards for mass data, such as data quality standards, data storage standards, data analysis standards, will also be too large to be implemented because the amount of data is too large. Therefore, under the condition of big data, the implementation of enterprise global data sharing by taking the overall standard-setting approach is very low

Under the condition of big data, the necessary guarantee for the smooth realization of standard setting is a strong organization and system. At the same time, it is necessary to employ big data experts to formulate big data standards of enterprises and implement the data standards into the existing systems. The method of pushing the original system back and forth will cause many disputes. For the standards of mass data, such as data quality standards, data storage standards, data analysis standards, they will also be too large to be implemented. Therefore, under the condition of big data, it is very low to adopt the overall standard to realize the realization of enterprise global data sharing<br>