Credit Card Transaction Data (Vela Velorum)

Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on the anonymized aggregate credit and debit data of millions of US accounts.

Vela 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
-Age
-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_demographics_age: parent merchant, merchant, category, subcategory, age group, time period, sales, transactions
-earnest_opinions: opinion, direction, opinion issued date, ticker, quarter, consensus estimate, earnings report date

搜集汇总

背景与挑战

背景概述

该数据集基于美国数百万账户的匿名信用卡交易数据，用于预测公司收入惊喜、跟踪市场份额和比较绩效指标。数据来源广泛，覆盖地理和人口多样性，提供消费者经济的全面视图。应用领域包括年龄、收入、宏观经济趋势分析，并包含机器数据、绩效数据等多张样本表。