Research on consumption governance path based on big data

In the era of big data, digital economy arises at the historic moment, and strengthening consumption governance is its important proposition. Massive data provides rich resources and reliable support for consumption governance. Driven by big data, consumers' consumption behavior is more rational, and their consumption choices are more vulnerable. At the same time, consumers' dependence on brands gradually decreases, but personalization gradually increases. The change of consumption trend also brings great opportunities for consumption governance. Information disclosure makes consumption governance more intelligent. Improving services to make consumption governance more precise. Improving quality makes consumption governance more rational. Customer first makes consumption governance more humanized. Therefore, this paper explores the consumption governance path by using the data mining (DM) method through sampling survey. The results show that we need to continuously improve the efficiency of consumption governance by strengthening the technological innovation, improving the safety factor, strengthening the regulatory regulations, and improving the coordination of policies.