Data catalog
Checking account opener likelihood using protected data
Ranks an individual's likelihood of opening a checking account. Built using models that incorporate protected class data (e.g., age, gender), modeled based on whether household members currently have or plan to get in the next 12 months a checking account.
The Faraday Identity Graph contains 1,500+ consumer attributes that can be used by brands, software platforms, and data science teams. Each attribute can be appended in batch or in real time. Also, Faraday supports creating propensity, recommender, and cluster models based on this data.
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | checking_ | |
| Category | Financial | fig/financial |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Directionality | Higher number means a greater ranked likelihood. | |