Terminology

Data Bundle

A group of signals with mutual domain and/or topic. Examples for data sources: Firmographics, Business web presence, Techographics.

Enrichment

The processed data Explorium is serving to the client. Examples for enrichments: Company insights, Companies financial report, Website traffic trends over 3 years

Entity

The data is organized in the context of the real-world entities they represent.

for example: ORGANIZATION is an entity we can ask multiple questions about, like what is the revenue of the organization? where its HQ are located? How many people are working in this organization?

The answers are represented in the data, all connected to the entity it's describing.

Signal

The basic enrichment unit. A signal can be a calculated attribute, based on one or more other attributes, raw or calculated. examples for signals: fraud score, unified revenue range.

Signals are used to extract features to help you make a decision. For example, maybe you are trying to score your lead. Any piece of information on the opportunity can be used to drive the actual decision, for example high likelihood to close. 

Recipe

A recipe is compose from a sequence of steps, which are been executed every time a recipe is applied on a new data. 

Coverage

The percentage of queries that returned any information (not null) out of the total number of queries sent to the service.

Estimated Max Coverage (per dataset)

The maximum estimated coverage that was calculated from the list of signals in the dataset.