Using Ai--Data Normalization is a Solution to Scheduling and Grading Procedures

 

 Note: Scheduling and grading procedures were indicated as a problem at PCHS.  AI can resolve this problem.

What's the Problem?

• Redundant Data: scheduling and grading procedure. This wastes space and if the address changes, you have to change it everywhere!
• Inconsistent Data: Maybe sometimes you write "Street" and other times "St." That's confusing!
• Difficult Updates: If you need to change a piece of information, you might miss some spots, leading to errors.

What's the Solution?

Data normalization is a process that organizes data to:

• Reduce redundancy (no repeated information).
• Ensure data consistency (everything is written the same way).
• Make it easier to update and manage data.

Think of it like this:

• Instead of writing a student's address every time, you create a separate "Addresses" table. Then, in the "Students" table, you just put a link to the correct address.
• You set rules for how information is written (e.g., always use "Street").

Why is it important?

• Saves Space: Less repeated data means you need less storage.
• Improves Accuracy: Consistent data means fewer errors.
• Makes Things Faster: Databases work more efficiently when data is organized.
• Easier to maintain: when data is normalized, it becomes much easier to update, and change information.

In simpler terms:

Data normalization is like tidying up your data so it's clean, organized, and easy to use. It helps prevent messes and makes sure everything is in its right place.