Credit Card Transaction Data (Orion)

Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on anonymized credit and debit card data of millions of US households. Orion data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy. USES -Customer lifetime value -Earnings predictions -Income -Macroeconomic trends -Market share -Performance benchmarking -Share of wallet -Subscription Trends SAMPLE TABLES AND FIELDS (Not comprehensive) -machine_data_daily: time period, ticker, credit amount and transaction count, debit amount and transaction amount, subscriber gross adds, subscriber churn, subscriber count, subscriber sales -performance_data: ticker, method, quarter, days into quarter, reported metric, consensus estimate, probability to beat -ticker_to_merchant_mapping_mdde: ticker, parent merchant, merchant -customer_metrics: parent merchant, merchant, channel, geography, time period, transactions, sales, unique shoppers -merchant_income_brackets: parent merchant, merchant, category, subcategory, income_bracket, time period, sales, transactions -earnest_opinions: opinion, direction, opinion issued date, ticker, quarter, consensus estimate, earnings report date本数据集基于数百万美国家庭的匿名信用卡与借记卡交易数据，可为数千家企业提供营收超预期预测、市场份额追踪及业绩指标对比服务。 Orion数据集（Orion Data）整合了多家美国金融机构的数据源，覆盖广泛的地理与人口统计维度，构建起消费经济领域最全面且精准的洞察视图之一。 应用场景： - 客户终身价值（Customer Lifetime Value） - 盈利预测 - 收入水平分析 - 宏观经济趋势研判 - 市场份额测算 - 业绩基准对标 - 钱包份额（Share of Wallet） - 订阅趋势追踪 示例表格与字段（非完整覆盖）： - 每日机器数据表（machine_data_daily）：时间段、ticker（股票代码）、信用卡交易金额与交易笔数、借记卡交易金额与交易笔数、订阅新增用户数、订阅用户流失数、订阅用户总数、订阅用户销售额 - 业绩数据表（performance_data）：ticker（股票代码）、测算方法、季度、季度内累计天数、已披露业绩指标、市场一致预期、超出业绩预期的概率 - 股票代码-商户映射表（ticker_to_merchant_mapping_mdde）：ticker（股票代码）、上级商户、商户名称 - 客户指标表（customer_metrics）：上级商户、商户名称、渠道、地理区域、时间段、交易笔数、销售额、独立购物用户数 - 商户收入分层表（merchant_income_brackets）：上级商户、商户名称、品类、子品类、收入分层、时间段、销售额、交易笔数 - 权威观点表（earnest_opinions）：观点内容、观点方向、观点发布日期、ticker（股票代码）、季度、市场一致预期、财报发布日期

搜集汇总

背景与挑战

背景概述

该数据集整合了美国多金融机构的匿名信用卡交易数据，提供消费者经济的全面视图，支持收益预测、市场份额追踪等分析。包含机器数据、绩效数据、商户映射等多维度表，涵盖交易金额、用户指标等关键字段。