What is the difference between Influence Factors and Recommendation Engine?

Both the Influence Factors and the Recommendation Engine features enable you to identify significant linear relationships. However, there are few differences between these functionalities and how they work with various properties, as demonstrated below:

Properties

Influence Factor

Recommendation Engine

Analyzed tag

Tag of interest only

All visible tags

Scope of analysis

Choice of tags in active tag list OR all indexed tags (global analysis)

All indexed tags

Analysis algorithm and output

Linear regression, R-squared

Correlation analysis, Pearson correlation coefficient

Time-Period on Focus Chart

Maximum 2 years on step up with index resolution of 1 minute*

Maximumu 90 days on a set up of 1 minute.*

Layers and Fingerprints

N/A

Works with layers and fingerprint deviation

* The maximum allowed period scales based on the index resolution.