Data Scaling

Definition

Data Scaling is a loose term that refers to data transformation activities that aim to improve the informational content of the data by adjusting an existing data set so that it conforms with a set of requirements.

Data Scaling will typically be required when the Measurement process generating the data sets is using a temporal, spatial or other scope boundary that is not aligned with the usage requirements (e.g., different time interval). The scaling adjustment, while a mathematically simple operation may imply Model Assumptions that may or may not be true.

See Also

• Data Cleansing
• Data Normalization