Data Volume

This section explores all aspects of data volume, from an educational perspective, to show how data volume components influence performance and use case alignment.

The size and shape of the source data set determines:

• Data patterns that can be learned.

• Model algorithms that can be leveraged.

• How far forward you can accurately forecast data.

• Effectiveness of features (external variables).

• Model train and build time.

• Overall model accuracy and use case performance.