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.