How is data processed within an operational system?

Data processing within an operational system typically involves the collection, manipulation, and analysis of information in order to drive decision-making and improve organizational operations. This may include tasks such as data entry, aggregation, transformation, and analysis using various tools and techniques. Additionally, operational systems often rely on automation, AI, and machine learning technologies to streamline data processing and support more timely and accurate decision-making. Ultimately, the goal of data processing within an operational system is to enable organizations to optimize their performance, improve customer satisfaction, and stay ahead of competitors in a data-driven world.

This mind map was published on 19 May 2023 and has been viewed 148 times.