Data RPA project deal with the problem

First, take a SOP standard operating procedures, the process according to the basic example is ABCD. Then the development process, is not it also have to do it, the answer is NO  .

 

Because most customers are business people, to understand the technology may be small, usually the reason they do that is the front page and they know a simple data processing can be based on that way, step by step to get the output file you want, However, if occupation skill in the teasing process business logic and, in most cases, can be achieved, the effect of D from a to reach directly.

 

So here it comes to data processing business processes is critical, because the project met with some RPA officers on a data processing  -  optimize efficiency, as if there is nothing concept. I think as long as the data processing to get the data you want on it, may not see, how much memory this process will take up the entire process, how much time it takes.

 

Take a simple example, a business process needs to resolve the scanned files, a file RPA personnel file, monotonous return to read and write input, less than 200 files, a full spend more than 40 minutes, which is the service of the RPA a huge waste of time  .  If you know the virtual storage, without accounting for memory, the whole process again parsed by a one-time data entry, time will be greatly reduced to less than a few minutes.

In addition Excel file which dozens of multi-million data handling and processing, customer formula processing coupled with a manual accounting process, basically will have to spend a morning time. After optimization, RPA officers deliberately used the database, after processing found with more than 40 minutes, the database can store data, improve data results. However, Excel and database interaction time, will be very very slow, the effect is not the best. After optimizing virtual memory data processing algorithms, the whole process took less than three minutes to process finished.

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Usually hundreds of thousands to millions of data processing, AP inside the field of finance / more common on AR, of course, with the size of the company we have a great relationship.

 

而RPA有其短平快的特性,所以基本上都是单兵作战,从初期需求对接,流程可行性分析,架构设计,开发实施,测试上线部署,以及文档编写后期维护,这些事情基本上都是一个人来做,这就意味着RPA工程的质量如何,与开发人员的水平和视野有着密不可分的关系。

 

所以RPA服务的核心价值在哪?

这是一个非常需要思考的问题。在实现流程自动化的时候,不单单是让手动变成自动,更是应该让运行效率变得明显提高。因为有些客户的RPA服务可能部署在自己的工作电脑,并非专门的RPA机,所以花费那么多时间去实现流程自动化,顾客可能觉得还不如让我自己做呢。所以实现流程的自动化,我们需要考虑多种方案,选取更优。

 

相信随着RPA人员的行业经验不断增加,如何根据业务流程规则和数据体量设计优化方案,将会变得越来越清晰。最后根据之前看到咨询同仁的一篇文章,对RPA人员的六级加速做了一个整理,以便分享与了解。


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Origin blog.51cto.com/14510351/2432033