User Tools

Site Tools


data_management:data_quality:data_cleansing

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
data_management:data_quality:data_cleansing [2022/07/27 12:50]
rene
data_management:data_quality:data_cleansing [2022/07/27 12:50] (current)
rene
Line 68: Line 68:
 | Data lifecycle management                 | Data Lifecycle Management can be defined as the different stages that the data traverses throughout its life from the time of inception to destruction. Data lifecycle stages encompass creation, utilization, sharing, storage, and deletion.                                                                                                                                                                                    | | Data lifecycle management                 | Data Lifecycle Management can be defined as the different stages that the data traverses throughout its life from the time of inception to destruction. Data lifecycle stages encompass creation, utilization, sharing, storage, and deletion.                                                                                                                                                                                    |
  
-Note 4: Preventing data issues +Note 4: Data issue prevention is far superior to data issue detection and cleansing, as it is cheaper and more efficient to prevent issues than to try and find them and correct them later.
- +
-Data issue prevention is far superior to data issue detection and cleansing, as it is cheaper and more efficient to prevent issues than to try and find them and correct them later.+
  
 It is also important that when issues are detected that feedback mechanisms ensure that the issue doesn’t occur again to both the collection of the data and the entry of the data, or that there is a much lower likelihood of it re-occurring. It is also important that when issues are detected that feedback mechanisms ensure that the issue doesn’t occur again to both the collection of the data and the entry of the data, or that there is a much lower likelihood of it re-occurring.
data_management/data_quality/data_cleansing.txt · Last modified: 2022/07/27 12:50 by rene