Entering the new historical period, the collection of richer data is the main task in front of each enterprise, once the enterprise can not collect a wider range of information, then the enterprise management decision-making is very easy to appear more mistakes. Enterprises should pay attention to internal data and information management, to ensure that the current data management is consistent with the characteristics of the big data era. First, since entering the era of big data, due to the emergence of countless data and information, so if the traditional data and information management technology can not be changed in a timely manner is very likely to affect the application of big data, so the requirements of the current enterprise must be introduced in a timely manner to the advanced software and hardware, in order to promote the general application of big data. Secondly, due to the massive emergence of data and information, enterprises also need to continuously improve the management of data and information, to ensure timely processing and processing of various data and information, and to grasp the latest data in a timely manner. Many enterprises have realized the importance of information data, but because they do not have advanced technical measures, a variety of data and information can not play its due role. Third, in the process of enterprise management decision-making, although big data plays an irreplaceable role, but also need to pay attention to the role of data fragments, an enterprise to achieve success must pay attention to the application of the two kinds of data, in order to make the two kinds of data to coordinate with each other, to ensure that the analysis of the data has a higher degree of scientific, and to further simplify the process of analysis, reduce the labor intensity of the staff. Enterprises also need to timely innovate internal knowledge management, as soon as possible to introduce a new knowledge management model. In actual operation, knowledge management is actually the management of data. When enterprises make management decisions, knowledge extraction is an indispensable process, only by vigorously applying all kinds of knowledge can they make the most reasonable decisions. At present, due to the impact of big data technology, people are increasingly aware of the importance of knowledge, and many enterprises currently put the construction of a modern knowledge management model in an important position, attaching great importance to knowledge management. At the same time, enterprises can not rely too much on the application of big data, while ignoring the importance of subjective decision-making, to ensure that the two are coordinated and mutually reinforcing, in order to help enterprises make the right decisions.