Cooked and synthetic data

Data is a critical component of an RPA project, as it provides the necessary input for the RPA robot to perform its tasks. The RPA robot uses data to process information, make decisions, and automate tasks. Without data, an RPA robot cannot perform its intended functions.

Cooking the data is a term used to describe the practice of manipulating data in order to produce a desired outcome or result. It typically involves altering the data in some way to make it appear more favorable or to hide unfavorable information.

In the context of RPA and automation projects, cooking the data can be a serious issue because it can lead to inaccurate results and decisions made based on faulty information. This can have serious consequences, particularly in industries such as finance or healthcare where decisions based on data are critical. To avoid cooking the data in RPA and automation projects, it is important to establish clear guidelines for data collection, processing...