Global Single Instance

Nor1 Cloud Services are deployed using a global single instance model. This means one deployment serves all worldwide customers. While this model allows Oracle to continually improve the service for everyone, it also means certain customizations cannot be considered.

Data Residency

Data stored in Nor1 Cloud Services, when not being accessed, is located in the United States. Data is secured and maintained according to Oracle’s standard security policies. Geographic replication is a component of Oracle policies. The redundant storage is also in the United States. Alternate data storage locations are not available at this time.

Data Processing

Data processed by Nor1 Cloud Services is hosted on servers in the United States. Access for maintenance, support, and operations by Oracle leverages Oracle’s global network of technology professionals. Processing of data in alternate, or specific, regions or countries is not available at this time.

Data Transmission

Nor1 Cloud Services send and receive data from around the world as part of the services’ regular operation. A property provides data from a number of potential sources including, but not limited to, an on-premise property management system (PMS), a hosted PMS, and/or a third-party integrated partner. The service interacts with various users whether they are members of a property’s staff, hotel guests, or Oracle personnel. These users may be located around the world.

Data Retention

When a customer terminates its account, the customer’s data is deleted from the production system. A grace period may be provided for customers to retrieve reports, if so desired. Once access is removed, the data is purged. This purge includes all reservation data provided by the customer as well as all configuration and model data entered into or generated by the services. Within 45-60 days, backups will have rotated out and no storage of customer data will exist. For customer-managed integrations (such as from an on-premise PMS), it is the responsibility of the customer to stop sending data to the Nor1 Cloud Services once the account is closed.

PRiME

Nor1 Cloud Services use a proprietary engine, called PRiME, to provide the offers to guests.

Machine Learning / Modeling

PRiME continuously learns more about the customer’s property and how it runs by using advanced learning and modeling algorithms. The PRiME process uses the property’s key performance indicators, such as: how likely an offer is to be chosen, how likely it is to be awarded, and the pricing of offers. The PRiME model focuses on the property and the upgrades; it does not model guest personal information.

Decision Making

When an offer list is requested, the engine combines the property’s custom model with business rules specified by the customer and the guest’s reservation to generate an offer list. The engine then ranks and prices the list. For confirmed upgrade offers, the engine may also leverage inventory data from the property.

Business rules provided to the engine have access to the reservation data and affect decisions based on that data. Customers can use these rules to guide the engine in making a decision. This allows customers the freedom to provide additional loyalty options based on customer status or simply to ensure the presented room types are ideal upgrades. Customers cannot use the rules to affect changes based on a specific guest or protected class of guests.

Bootstrap Modeling

Before the system has enough data to generate a custom property model, it uses a bootstrap model. The bootstrap model is based on the aggregate success of offers at a given price from across the system. It does not account for or include any other key indicators.

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