How To Upload Data To Stata
Data inconsistency occurs when like information is kept in unlike formats in more 1 file. When this happens, it is important to match the information between files. Sometimes, files duplicate some information. When data like names and addresses are duplicated, information technology may pb to a compromise in data integrity.
What Is Data Integrity?
Data integrity occurs when the information in a database are consistent. Every organization relies on data integrity to ensure that they accept reliable and accurate information. The information must besides exist consistent with real-world events.
When an organization has potent information integrity, the data represents real data. For instance, it provides authentic data almost a patient'south accost and phone number after they have moved.
Data Inconsistency Is Caused By Redundancy
Redundant data is a problem because it can create unreliable information. One person may modify the value in one file simply not in another file. This is a problem for companies that rely on authentic data.
Allow'southward say that a hospital has a system for file processing, only several files for one patient are kept separately. If a professional person changes the patient'due south accost in i file but non in any others, the patient'south bill, or insurance information could exist sent to the wrong destination. If you do non have the right phone number on each file, you may discover yourself running into problems regarding which one to call.
How to Prevent Data Redundancy
Several methods tin can prevent data back-up. For one, planning better structures for databases can prevent data from being nowadays in several files. In some cases, this is not possible. Normalizing a database is the side by side pace. The procedure involves cleaning upwardly the tables in the database.
The goal of preventing data back-up is to ensure that data is in one place. It is not scattered throughout the database.
Sometimes an organisation tries to normalize a database. They may not be able to clean up all the redundant data. When this happens, i may see a data anomaly.
Human Mistake
Sometimes, the system needs to stride in and ensure that employees are trained properly. Data input can exist catchy, and untrained employees may non realize they are calculation new information rather than changing old information.
How to Prevent Data Inconsistency
People approach data inconsistency in two ways. One way to fix the problem is through central semantic storage. This requires a lot of logging and storing rules. It likewise involves creating a fundamental area for information. The process can exist difficult.
You can also use the chief reference store approach. This process seeks to centralize the data. This means that at that place are strict rules nigh where the database stores information. The goal of this approach is to take more control over important data. It may require more than resources than other methods.
Every organization wants its data to exist accurate and reliable. From insurance companies to tech companies, organizations all across the country need to know the information they have collected is useful.
Source: https://www.reference.com/world-view/definition-data-inconsistency-5bc80c9fd30c5f1a?utm_content=params%3Ao%3D740005%26ad%3DdirN%26qo%3DserpIndex
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