Which Of The Following Would Imply That Data Observations Are Closely Clustered Around The Mean?
Data inconsistency occurs when similar data is kept in different formats in more than 1 file. When this happens, it is of import to match the data between files. Sometimes, files duplicate some data. When information similar names and addresses are duplicated, information technology may lead to a compromise in information integrity.
What Is Data Integrity?
Data integrity occurs when the data in a database are consistent. Every organization relies on data integrity to ensure that they accept reliable and accurate data. The data must too be consistent with real-globe events.
When an organization has strong data integrity, the information represents real information. For case, it provides accurate information about a patient'due south address and phone number afterwards they have moved.
Information Inconsistency Is Caused By Redundancy
Redundant information is a problem considering it can create unreliable information. One person may change the value in one file simply not in another file. This is a problem for companies that rely on accurate information.
Allow'due south say that a hospital has a system for file processing, but several files for i patient are kept separately. If a professional changes the patient's address in one file but non in any others, the patient'southward bill, or insurance data could be sent to the wrong destination. If you do not have the right phone number on each file, you lot may find yourself running into problems regarding which ane to call.
How to Prevent Data Redundancy
Several methods can prevent data redundancy. For one, planning better structures for databases tin preclude data from being nowadays in several files. In some cases, this is not possible. Normalizing a database is the next step. The process involves cleaning up the tables in the database.
The goal of preventing data redundancy is to ensure that information is in 1 place. It is non scattered throughout the database.
Sometimes an organization tries to normalize a database. They may not be able to clean up all the redundant information. When this happens, i may run into a information anomaly.
Human Error
Sometimes, the organization needs to step in and ensure that employees are trained properly. Data input can be tricky, and untrained employees may not realize they are calculation new information rather than changing erstwhile information.
How to Preclude Data Inconsistency
People approach data inconsistency in two ways. One way to set the problem is through central semantic storage. This requires a lot of logging and storing rules. It too involves creating a central area for information. The procedure tin can be hard.
You lot can besides use the master reference store approach. This procedure seeks to centralize the information. This means that there are strict rules about where the database stores data. The goal of this arroyo is to have more control over important data. Information technology may require more resource than other methods.
Every organization wants its information to be authentic and reliable. From insurance companies to tech companies, organizations all across the country demand to know the information they take collected is useful.
Which Of The Following Would Imply That Data Observations Are Closely Clustered Around The Mean?,
Source: https://www.reference.com/world-view/definition-data-inconsistency-5bc80c9fd30c5f1a?utm_content=params%3Ao%3D740005%26ad%3DdirN%26qo%3DserpIndex
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