在当前科学技术日新月异的时代，与大数据相关的意义不可否认。在一定的局限性，在大数据的使用和实现难度，有许多优势和大数据有利于企业在许多方面。由于巨大的规模信息，组织已经成为能够提高产品的质量和特点。除此之外，供应也已观察到的上升。由于大数据的使用，企业已经能够提高他们产品的生产。大数据这一优势不可忽视的就是对企业生产率的一方面，另一方面促进了发展，促进了经济的增长。（呵，T.，护城河，H. S.，斯坦利，H. E.，2013）
Another limitation of big data usage is the lack and non-availability of trained and skilled people. Majority of the employees in several organizations are not aware of the usage and appropriate allocation of the huge data sets. A lack of 1.5 million analysts and managers to analyze big data and conduct decision-making on the basis of their findings, and a non-availability of 140,000 to 190,000 skilled people to analyse and work with big data, has been observed, according to McKinsey & Company’s review, in 2011.
Furthermore, big data usage has been restricted and cannot be fully and optimally utilized by organizations, due to the non-availability of models. Big data gains are limited and will remain limited unless the organizations realize the significance of testing, hypothesis and experimenting for appropriate usage of the available data, as stated by the editor-in-chief of Wired Magazine, Mr. Chris Anderson.
In the current era of science and technology, the significance and relevance of big data can not be denied. In spite of certain limitations and difficulty in the implementation and usage of big data, there are a number of advantages and big data facilitates firms in many ways. Due to huge and vast scale information, organizations have become able to improve the quality and features of their products. In addition to this, supply has also been observed to rise. Due to the usage of big data, organizations have been able to boost up the production of their products. This advantage of big data cannot be ignored as it adds up to the productivity of the firms on one hand, while on the other hand boosts the development and accelerates the growth of the economy. (Preis, T., Moat, H. S., & Stanley, H. E., 2013)
Improvements in the quality of production and supply quantities have been raised due to multiple and expanded data sets. In case of the manufacturing industry, an infrastructure for the transparency has been provided by big data. As a result, uncertainties are reduced in the organization.