In the past decade, big data analysis has been considered a powerful tool for the transformation and upgrading of the energy industry. For power enterprises, traditional marketing means often lead to a large time difference between the enterprise and the market due to hindsight, which not only affects the timeliness of marketing but also damages the practical interests of all parties, including enterprises, the marketing application of big data in power utilities can realize value-added services through personalized services through differentiated services. This paper investigates the use of data analytic techniques to enable power marketing analysis and decision-making in power utilities.