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Automated Data Extraction and How it Can Help Support Your Quality Control Workflow

What is Automated Data Extraction?

Automated data extraction is a process that extracts data from a document or webpage and stores it in a database. Tools and software would handle how your data is organized, structured and moved around, according to Segment

This automated process allows teams to ease the burden of manual data entry, especially double checked data entry – when you combine automated data extraction within existing quality control workflows. 

(This process is the tip of the iceberg of what automated data extraction can do for data related workflows.)

How Automated Data Extraction can Help Support Quality Control Workflows

Quality control processes ensure the quality of a product or service. It is an important part of any business, and it can be done manually or with the help of automated data processing solutions.

Automated data extraction is an important part of assuring quality data results because it helps to ensure that the right information is being extracted from the right documents. It also helps to ensure that the information extracted is accurate and complete.

The main goal of quality control is to ensure that the product or service meets the customer’s expectations. This means that it should be free from defects, meet all standards, and have no errors. There are many benefits to implementing quality control solution supplanted by this process in your business:

  • Save time by supplanting double check data entry by supplanting a human with automated results to compare and check
  • Save money and effort by having human data entry specialists focused on the most important work
  • Increase capacity by moving much faster through data entry jobs and maintaining the same level of accuracy
  • Improve your customer experience by providing more accurate results, in much less time

What are the Best Practices for Implementation?

The best practices for implementing this process is to integrate the results of the automated data processing right within your existing quality assurance workflows.

Identify the type of data that needs to be extracted and where it comes from. Once you’ve done this, you can choose which automated data extraction tool is right for you. In real estate? You’re covered.

Then, identify the fields that need to be extracted from these sources. Create a mapping between these fields and columns with their corresponding values in the target system. This will make sure the data is going to the right places. In other words, the same places the manual data entry would be entered. (New to integrating the results of automated data extraction? We’ve got you covered there as well.

With this seamless integration, you’ve set yourself up to double check your data entry in a quality assurance process with speed, power and accuracy. All within the same tools you’ve been using.

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