Appendix 1: Data Quality Guide

This section describes the importance and different aspects of data quality, how Sensible Machine Learning perceives the data based on varying levels of data quality, and how data volume affects the XperiFlow engine and Sensible Machine Learning functionality.

Why Data Quality Matters

The single biggest indicator of effective forecasting produced by Sensible Machine Learning is the quality of the source data. The following sections describe the components and best practices.