Practical Experience in Data-Driven Product Transformation and Revenue Growth
DOI:
https://doi.org/10.71222/xkax2j85Keywords:
data driven, product transformation, income growth, big dataAbstract
In the wave of informatization, many companies promote product upgrading with the help of data analysis, aiming to promote revenue growth and enhance market competitiveness. This data-driven product transformation is not only a technical process, but also involves the in-depth mining of large-scale data, the integration of intelligent algorithms, and the strategic alignment of products with user needs. This paper aims to deeply study the theoretical basis of data-driven product transformation and the technical architecture of its implementation. By analyzing practical cases, it explains how data-driven transformation can help enterprises grow by relying on product upgrading, intelligent innovation, revenue growth model and other means, so as to enhance the competitiveness of enterprises in the market. Through the detailed interpretation of specific cases, this paper will explain how to improve user experience, enhance user stickiness and enhance the market competitive position of enterprises with the help of data analysis.
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Copyright (c) 2025 Zhuoer Ma (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
