Difference between revisions of "Data Normalization"
From Open Risk Manual
Wiki admin (talk | contribs) (Created page with "== Definition == '''Data Normalization''' is a loose term that refers to data transformation activities, typically in preparation for the development of a Risk Model that...") |
Wiki admin (talk | contribs) |
||
Line 6: | Line 6: | ||
* reduction of unrelated [[Data Outliers]] | * reduction of unrelated [[Data Outliers]] | ||
* addressing [[Seasonality Effects]] | * addressing [[Seasonality Effects]] | ||
+ | |||
In a more narrow sense it may mean the scaling of data to conform to a normalized scale. | In a more narrow sense it may mean the scaling of data to conform to a normalized scale. | ||
Line 11: | Line 12: | ||
== See Also == | == See Also == | ||
* [[Data Cleansing]] | * [[Data Cleansing]] | ||
+ | * [[Data Scaling]] | ||
[[Category:Credit Scorecard Development]] | [[Category:Credit Scorecard Development]] | ||
+ | [[Category:Risk Data]] |
Latest revision as of 11:36, 5 January 2022
Definition
Data Normalization is a loose term that refers to data transformation activities, typically in preparation for the development of a Risk Model that aim to improve the informational content of the data by removing manifestly extraneous influences.
In a broad sense it may denote:
- the reduction of datasets to relatively uniform or homogeneous pools
- reduction of unrelated Data Outliers
- addressing Seasonality Effects
In a more narrow sense it may mean the scaling of data to conform to a normalized scale.