HN 提问：信用卡和忠诚度分析，从何入手？
2 分•作者: scipio1551•大约 11 小时前
我负责为一家每月处理约 7.5 亿美元交易的公司创建信用卡和忠诚度分析报告/仪表板。
目前，这些数据尚未进行大规模的分析或统计审查，我的主要重点是理解数据，同时也尝试设计报告。
在如此大的交易量下，哪些具体的数据点或易于实现的改进可以带来真正的商业价值？我需要接受哪些培训或学习才能成功？我之前是在福利领域工作的，所以这对我是全新的。
关于忠诚度：它与福利类似吗？是基于人口统计学的吗？
您能否推荐一些重要的领域资源、白皮书或案例研究，帮助我快速了解这两个领域？
我使用 Snowflake 数据库和 M365 套件，虽然我之前接触过其他企业级工具，并且不介意为增加价值而申请许可证。
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I inherited responsibilities for creating credit card and loyalty analytics reporting/dashboarding for a firm that processes roughly $750M in monthly transactions.<p>There hasn't been any large scale analytical or statistical review of this data and my main focus now is understanding the data, but also trying to design reporting.<p>At this volume, what specific data points or low-hanging fruit can drive real commercial value? And what education or learning can I take to succeed? I'm coming from the benefits world, so this is very new.<p>For loyalty: is it similar to benefits? Demographic based?<p>Are there essential domain resources, whitepapers, or case studies you'd recommend for getting up to speed on these two domains?<p>Snowflake databases, M365 shop, although I have prior exposure to other enterprise tools and don't mind building the business case to get licenses if value add.