Which of the following is NOT part of the business case for using grid computing?

The business case for using grid computing typically includes various benefits, such as cost savings, speed of computation, and agility in resource management. An essential aspect of grid computing is its ability to harness distributed resources efficiently to address tasks that require substantial computational power, thereby reducing costs associated with hardware investments and operational inefficiencies.

Speed of computation is also critical because grid computing allows organizations to process large datasets or complex simulations faster by utilizing multiple nodes concurrently. Moreover, agility refers to the flexibility that grid computing offers in terms of scaling resources up or down based on changing needs, enabling organizations to respond quickly to demands.

While increased accuracy is certainly a desirable outcome of many computing processes, it is not a direct advantage of grid computing itself. In fact, accuracy depends more on the algorithms employed and the quality of the data rather than the computational framework. Therefore, this option does not align with the core business case for grid computing, making it the correct answer.