Alteryx > 实例探究 > 匹配2400万条交易数据记录：高效匹配贷记交易的解决方案

匹配2400万条交易数据记录：高效匹配贷记交易的解决方案

技术

分析与建模 - 大数据分析
分析与建模 - 数据即服务

适用行业

设备与机械
金融与保险

适用功能

销售与市场营销

用例

机器间付款

关于客户

该客户是定期处理大交易数据的会计或金融行业。

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挑战

面临的挑战是在包含 2400 万条记录的数据集中匹配信用卡和借记卡交易，而无需任何可用于匹配的标识符。

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解决方案

该解决方案涉及将所有交易数据合并到一个文件中，将数据拆分为销售额和退货，使用联接工具根据 RecordID 匹配交易，并使用多行公式工具按销售值对交易进行分组。

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运营影响

The solution provided a significant improvement in the efficiency and accuracy of the transaction matching process. It eliminated the need for manual matching of transactions, which was time-consuming and prone to errors. The solution also allowed for the analysis of the entire dataset of 24 million rows of data, rather than just a piece of it, improving the completeness of the task. Furthermore, the solution was able to handle the large dataset in a single file that could be opened on a basic corporate machine, making it more accessible and easier to manage. The solution also reduced the risk of human error, such as forgetting to delete a transaction from one dataset or accidentally pasting a transaction multiple times in a separate dataset. Overall, the solution significantly streamlined the transaction matching process, making it faster, more accurate, and more efficient.

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数量效益

The workflow ran in less than 6 minutes with only 8GB of memory.
The solution was able to handle 24 million records of data in a single file.
The solution eliminated the need for manual matching of transactions, saving significant time and reducing the risk of errors.

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