Research on the big data collection mode of consumers for innovative products and brand value factors

The collection of machine learning and big data can help us understand consumers more clearly. However, in today's increasingly serious product homogeneity, consumers' perception of brands and product demands cannot be really clearly analyzed. Although the brand has become the basis for the image, popularity and reputation of the enterprise. However, it also reflects that the brand value will develop wrong products due to a temporary data misjudgment; therefore, building brand influence has become the goal of reducing the depth of the company's operations, and its evaluation results are expected to help the industry improve itself and provide the main reference for brand strategy. Through structural reconstruction and value chain inductive analysis, this research will provide the core value of products that should be paid attention to when designing and positioning products in the future and what should be paid attention to when collecting big data, and should be able to fully comply with the positioning strategy of the entire product brand, so as to avoid causing brand damage. value. and consumer perception. Through the construction of these data, market-related researchers can also focus on the balance and value chain between brand value and product positioning through this research, and provide reference and product development positioning for relevant education researchers or market data collectors.