Here are some types of data enrichment work you may encounter in data entry outsourcing. Choose which ones you need for your data management strategy.
Data enrichment differs from data processing in three ways. One reason is that human agents produce better results from data enrichment work than machines.
Data enrichment goes beyond data entry or data mining, and involves data cleansing and data analytics. Here are 3 reasons to outsource data enrichment work.
Regardless of the technology that we have now, either data cleansing or data enrichment remains a tedious task, but one that keeps your company standing firm on solid ground. It comes as no surprise, therefore, that many companies resort to outsourcing to make sure that critical data-related processes continue to run smoothly.
You may be using powerful software for data analysis or running your own algorithms, but remember that they can only give answers based on the quality of data entered. And, you can only get quality raw data through high-volume collection methods done by humans connecting with your customers and interacting with them in a meaningful way. As of now, humans remain the cheapest, most accessible, and most reliable tools for that.