Which Of The Following Is Not One Of The Characteristics Of A Data Communication System
Businesses, scientists, and researchers worldwide use databases to proceed runway of data. Databases can be useful for everything from sending a postcard to all of your customers to discovering results in a scientific study.
However, data becomes less valuable when it is not reliable. Data inconsistency is i of the nearly common threats to reliable data. What is data inconsistency, and what issues does it crusade?
What Is Data Inconsistency?
To employ data, it has to be recorded in a format that makes information technology easy to read and rails. Many businesses apply electronic databases to track and shop large batches of data. Especially for big businesses or all-encompassing studies, the size of the data to track may be much larger than can fit in i file or even on one computer.
Data inconsistencies arise when the data that should be in 1 database ends up in multiple files, each with a unlike version of the aforementioned data. The aforementioned entries could be in the database multiple times. There may be multiple versions of the same database where one version includes fields that another version is missing. The result is a set of data that is non accurate or easy to use.
Although technology makes data easier to track, improper use of technology is often the culprit for data inconsistency. Several people tin can collaborate to make the same data set, but information technology is important to brand certain that all of the people edit the same file. Any changes have to exist visible to all other collaborators in real-time. In that location also needs to exist a consistent, reliable source of information to enter into the database. It would crusade data inconsistencies if dissimilar individuals were pulling information from the same sources. It would likewise lead to redundant and inconsistent data if i or more of the individuals working on the databases could not see or keep rail of the updates fabricated by others.
For example, suppose that four coworkers are creating a database of the customer email addresses for a big business. Some emails come up from a sales funnel. Others come up from a coupon opt-in, and the residue of the emails come from three unlike contests. If one coworker is updating a file that is simply saved to his hard bulldoze, the rest of the team will not see the changes he makes. The final database will be missing any email addresses he finds.
If the rest of the employees add to a database stored online where changes are visible in existent-time, that's a stride in the correct direction, only what about their data sources? It is possible that some customers signed up for all three contests. Just using a list of emails from each contest would result in some electronic mail addresses being listed multiple times. The database needs programming rules to forbid duplicate entries.
Whether logistical or technological, the issues that can result in information inconsistencies have easy solutions. However, you have to be enlightened of the potential issues and develop a plan that works. For large sets of data that multiple people work on, it takes careful planning to remove data inconsistencies from the process.
Why Is Data Inconsistency a Problem?
Here's a existent-life example of information inconsistency on a much smaller scale. Suppose Jack, Ann, and Sheldon are all working on a group projection, and they demand to write an essay together. They worked together in the library, and they needed to finish the last page of the essay over the weekend. Jack typed up the original file on his laptop. He emails the file to his project partners as a Give-and-take document.
Jack continues editing his Word document afterwards emailing his partners. Ann uploads the information to a Google Md, which she and Sheldon edit in real-fourth dimension. At the stop of the weekend, there were ii different papers. Jack has one version of the paper that he worked on. Ann and Sheldon have another version of the paper. Both papers accept iii of the aforementioned pages, only the fourth page is dissimilar. Now, both of the documents are missing information. The group will accept to meet over again to decide which information from both papers to utilise.
Data inconsistency is far more serious in business and science than doing a little extra work on a paper. Information inconsistency is a huge trouble because people make decisions based on data. Inaccurate data results in poor decision-making. Suppose that a database collects responses in a study on a new medicine. If inconsistencies count 1,000 positive results twice, a medicine that does non actually work could get to market. If a company uses an inconsistent database to mail service catalogs to customers, the company could waste thousands of dollars sending multiple catalogs to the same household.
How to Preclude Data Inconsistencies
There is a term in technology that says, "garbage in, garbage out." If y'all put bad data into a database, the database can just give you bad information in render. One of the simplest means to prevent data inconsistencies is to build rules into the spreadsheet or other database software that is being used to track data.
Information inconsistencies normally issue in i of two problems: duplicate or missing data. Planning and project management can foreclose missing data. For example, a business organisation can gear up a policy that all employees utilise the aforementioned online software that updates in real-time. This will prevent employees from saving dozens of iterations of the same database on their ain computers. Database rules help identify data inconsistencies and remove them before they influence results and decisions. Manufacture-specific software has highly-sophisticated methods of recognizing duplicates. Even the most basic spreadsheet software can be programmed to detect errors.
Understanding what data inconsistencies are is the central to agreement and preventing them. As the saying goes, an ounce of prevention is worth a pound of cure. It is much easier to set up the causes of data inconsistency than to improve the broad variety of problems resulting from information technology.
Which Of The Following Is Not One Of The Characteristics Of A Data Communication System,
Source: https://www.reference.com/world-view/definition-data-inconsistency-5bc80c9fd30c5f1a?utm_content=params%3Ao%3D740005%26ad%3DdirN%26qo%3DserpIndex
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