ajay-anil-kumar/Globo-Mart

GloboMart是一个综合性的合成数据集，模拟了一个虚构的全球零售商五年的业务运营。该数据集旨在为数据分析师、科学家和工程师提供一个现实且深入的分析资源。数据集涵盖了整个客户旅程，从市场营销互动和网站接触到销售交易和最终履行。它支持广泛的分析，以回答关键的业务问题，例如营销活动的有效性、网站用户行为、销售和利润的主要驱动因素以及如何提高供应链效率。该数据集非常适合练习SQL、开发BI仪表板和在真实的零售环境中构建预测模型。

GloboMart is a comprehensive synthetic dataset simulating five years of operations for a fictional global retailer. It is designed to provide a realistic and analytically deep resource for data analysts, scientists, and engineers. The dataset captures the entire customer journey, from marketing interactions and web engagement to sales transactions and final fulfillment. It supports a wide range of analyses to answer critical business questions, such as the effectiveness of marketing campaigns, user behavior on the website, main drivers of sales and profit, and ways to improve supply chain efficiency. This dataset is ideal for practicing SQL, developing BI dashboards, and building predictive models in a realistic retail context.