Category:Accuracy Of Data And Infomation and Data Quality

Accuracy Of data Having incorrect data means that you will have incorrect information being output from the system. The consequences of such incorrect information can be small like a letter in a word is wrong or it could be big like they could get the wrong countries name in a legal document. Could even lead to the start of world war 3.

There are various techniques used including: data validation and data verification checks. When you validate data you check that it is correct and reasonable as it is entered into the system.For example for your Hsc assessment mark in this course if must be a number between 1 to 100, the software can perform such validation and ensure that this is the case. Data verification checks and ensures that data entered is actually correct. For example although 97 is a legit HSC mark it could be written wrong as 79, data verification aims to fix these problems. All these marks have to be physically marked and checked off.

The accuracy of collected data is improved when the format of data collection forms ensure data is in the required format and required range. These items are said to be 'self validating'- they ensure that data entered is reasonable in terms of format and range. Data Quality Quality data meets the requirements of all information systems that will make use of the data. Quality data meets the needs of all systems. Many organisations develop data quality politics and standards to ensure the data within its system will meet the needs of all that's current and future systems. There are a number of perspectives that you have to take into consideration when checking data quality. Accuracy, timeliness, and accessibility are 3 of these things. Timeliness occurs to how often the data is changed and updated, For instance inaccurate data comes when data is not updated in a timely matter. Accessibility of data refers to the availability and suitability of data for processing.