Transactional data is data that is generated as a result of a transaction. This can include data such as the date and time of the transaction, the amount of money involved, the parties involved, and any other relevant details. This data can be used to track the performance of a business, to identify trends, and to make decisions about future transactions.
What is transactional data example?
Transactional data is a type of data that is created as a result of a transaction. Transactions are typically financial in nature, such as a purchase or sale. However, any type of data that is created as a result of an interaction can be considered transactional data.
For example, if a customer purchases a product from a store, the data associated with that transaction would be considered transactional data. This would include information such as the customer's name, the product purchased, the date and time of the purchase, and the amount of money paid.
What is transactional and non transactional data?
Transactional data is data that is associated with a specific transaction. This data can be used to track the progress of the transaction, and can be used to verify that the transaction was completed successfully.
Non-transactional data is data that is not associated with a specific transaction. This data can be used for general purposes, and can be used to track the progress of multiple transactions.
What is transactional data model?
A transactional data model is a data model that captures the data associated with a business transaction. This data includes the parties involved in the transaction, the products or services being exchanged, the price of the transaction, and the date and time of the transaction. The transactional data model can be used to track past transactions and to predict future transactions. Why is transactional data important? Transactional data is important because it can provide insights into how a business is performing. This data can be used to track sales, understand customer behavior, and make decisions about where to allocate resources. Additionally, transactional data can be used to create reports and dashboards that help managers and executives understand the health of the business.
What is the difference between master and transactional data?
The main difference between master and transactional data is that master data is static and transactional data is dynamic. Master data is the core data that is used to identify and describe an entity, while transactional data is the data that is generated as a result of the entity's interaction with the world.
Master data includes things like an entity's name, address, and contact information. This data rarely changes and is used to identify the entity across all transactions. Transactional data, on the other hand, is the data that is generated every time the entity interacts with the world. This data can include things like sales data, purchase data, and customer service data.