The importance of data cleansing
Data cleaning involves detecting corrupt data and updating records with accurate information. This is something that all businesses should invest time and effort into, as it keeps your information relevant and up-to-date.
The main areas you will need to look at are:
High quality data needs to have uniqueness. All duplicate files should be removed and any related data should be truncated with one access point.
Get rid of incorrect or corrupted data, and rectify things such as spelling mistakes or incorrect number files.
Consider whether the data you have is useful or relevant. A lot of companies carry old data that provides no value. This would be a good time to spring clean unnecessary content.
This is where pre-robotics solutions can be especially helpful, in organizing information from multiple sources into a consistent template that bots can understand.
Using a pre-robotics solution
Data standardization is one of the most critical areas of the data cleansing process. One that can be the difference between RPA efficiency and RPA failure. Manually, this would cost companies a great deal of time and money, and there are no assurances against repeat human errors. Rather than attempting a manual overhaul of your databases, deploy an automated solution instead.
Pre-robotics solutions offer an efficient and agile way of managing unstructured information, working with just about any type of data that enters into your business. They work by mining information through a set of clearly defined business rules, and the process is fully computerized for minimal human effort.
Some of the key benefits of a pre-robotics solution include:
- Able to process, collate and extract different types of content
- Multi-channel capabilities (post, email, attachments, RSS feeds, etc.)
- Results in standardized content formats that are consistent and easy for bots to understand
Maximize output with RPA software
By providing your RPA software with accurate and well-formatted data, you can make your digital workforce work harder. This allows you to harness robotics for touchless processes from end to end. Fully digital processes can then be monitored, adjusted and optimized as needed.
To be completely robotics ready, not only do you need clean data, but you will also need to ensure that your processes have been streamlined too. This is important because RPA mimics the keystrokes of human workers. Unless you improve your manual sequence from start to finish, inefficiencies or mistakes will be carried over into the RPA system. Correct mapping is essential for success.
Only once you have cleaned your data, fully optimized and accurately mapped your processes, can you reap the rewards of what RPA has to offer.
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