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收藏Snowflake2022-06-22 更新2024-05-01 收录
下载链接：
https://app.snowflake.com/marketplace/listing/GZSOZAM0I6
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资源简介：
Model-ready, aggregated data, available on a daily basis across all tickers, with point-in-time curation. Proprietary normalization techniques reduce the noise in the transaction data for direct input into modeling. The normalization process includes the elimination of outlier transactions that have the potential to negatively impact company KPIs, a full audit and removal of duplicate transactions, and applied business logic to mapping protocol based on machine learning and reg ex matching.
Columns:
TICKER
BRAND_NAME
TRANSACTION_DATE
AMOUNT_INDEX
COUNT_INDEX
Geography limitations: US
Sources:
3.1+ billion transactions tracked
400k linked panel members
630+ tickers
T+1.8 average latency
837K linked debit and credit accounts
Zero party data* comes from consumers
提供机构：
Drop Technologies Inc.
创建时间：
2022-06-22
搜集汇总
数据集介绍
以上内容由遇见数据集搜集并总结生成
