Combination of big data analytics and traditional marketing analytics to predict sales of products

Big data has brought about a lot of changes in our life and learning, for example, information extraction and information analysis methods have been fundamentally changed, which we usually classify into data mining In order to find the differences between traditional market analytics and big data analytics, according to improve which to the predict sales of new products, this paper introduces the method of knowledge fusion. According to this paper, we find that to obtain its benefits the fusion to improve new product success is not automatic and sometimes needs strategic selections. To improve the practicability of this method, we extracted the numeric and textual data from customer reviews, and then the method of knowledge fusion is applied to sales of both existing products and new product forecast.