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Invoice batching is a great example of this as

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best used in situations that require a cluster of data to go out at once. Invoice batching is a great example of this, as businesses tend to process payable accounts once a week or so. Payroll batching is another example. Real-time processing serves the same purpose as batch processing, but with one main difference; all transactions are automatically processed without consent of the users (Investor Words, n.d.). The processing of data within the real-time process is continuous and systematic, allowing transactions to flow through as they are generated. The biggest benefit to this system is the efficiency of the transactions. Because there is no intermediary required to process the transactions, they is no delay in having them fulfilled (Robert, n.d.). This translates over to increased employee productivity and improved control of inventory. Since all transactions are broken down individually, it becomes easier to detect when and where a discrepancy has occurred.
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Individual Project 3 5 Although there are many advantages to real-time processing, there are many factors that make this processing system inferior to batch processing. For one, real-time processing is more expensive and complex than batch processing (Bilak, 2013). Because of the continuous data that flows through, real-time processing systems require constant connection to the database and servers. If the connection between the host and the client is broken, then the process ceases. Another disadvantage is that the auditing process becomes more difficult. This is also due to the constant-flowing data. The best way to circumvent this situation would be to audit the data from previous dates rather than audit current flowing information. Real-time processing is best used in situations where constant information is flowing through. An example of this would be within a POS system which constantly has inventory going in and out of it. As a business sells its
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