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An operational system is a term used in data warehousing to refer to a system that is used to process the day-to-day transactions of an organization. These systems are designed in a manner that processing of day-to-day transactions is performed efficiently and the integrity of the transactional data is preserved. [1]
Sometimes operational systems are referred to as operational databases, transaction processing systems, or online transaction processing systems (OLTP). However, the use of the last two terms as synonyms may be confusing, because operational systems can be batch processing systems as well.
Any enterprise must necessarily maintain a lot of data about its operation.
| Organization | Probably |
|---|---|
| Manufacturing Company | Product data |
| Bank | Account Data |
| Hospital | Patient Data |
| University | Student Data |
| Government Department | Planning data |
Real-time processing: Operational systems typically support real-time data handling, enabling instantaneous updates and rapid responses to ongoing transactions.
Transaction orientation: Operational systems are built around high-volume, short-duration transactions. They emphasize atomic operations and mechanisms that maintain data accuracy and consistency, even when many users access the system simultaneously.
Operational efficiency: Designed for dependable performance, operational systems help ensure that routine business functions, such as handling orders, administering payroll, and managing inventory, run without disruption. [2]
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