What does Normalized data mean?

Normalized data is a type of data that has been formatted and organized to maintain a consistent structure throughout multiple tables by reducing redundancy, thus improving accuracy. Restaurants can have standard formats for information such as menu items, prices, inventory, and customer information across resulting databases.

Normalized data enables effective management of business processes and provides reliable reporting. For restaurants, normalized data provides-

• Accurate, consistent, and reliable data across POS, inventory, and reporting systems
• Reduction of errors due to duplicate and outdated data
• Ease with which menus, prices, and ingredients can be updated
• Better reporting, analytics, and decision-making
• Improved performance and scalability from a systems perspective.

How does it work?

With a restaurant POS system or database applications, normalizing means breaking data up into smaller related tables and logically connecting them to each other. Rather than repeating menu item detail information in every order you create, you create the menu item detail information one time and reference it whenever necessary. This reduces redundancy, and updates (e.g., a price change) only affect the single item detail record, so your application will automatically update the menu items showing correct pricing anytime there is a price change.