Skip to main content

BrandName

Description​

The customer-facing version of the name that best represents the business.

Data Sources​

The brand name is derived from:

  • Publicly available business data and listings
  • Privately verified business information

Methodology​

  • Enigma uses high quality data sources to get the best representation of a business name. Within those data sources, Enigma ranks by dataset quality and frequency to determine the most likely name the business is referred to by.
  • Persons: Agents/providers/business owners available in our data asset that are branded as the business will use their person name as the brand name. The company that employs the agents/providers will also have their own brand name and an affiliated relationship with the agents/providers.
  • Sub-brands/Franchises: Businesses that operate multiple other businesses, or franchisers that are operated by multiple franchise locations available in our data asset will be referred to by different brand names and have affiliated brand relationships.
type BrandName implements NodeFunctions {
  name: String
  nameFullTextSearchVector: String
  rank: Int
  id: UUID!
  firstObservedDate: String
  lastObservedDate: String
  recordCount: String
  recordSources: JSON
  recordTags: JSON
  recordTagCounts: JSON
  recordSourceCounts: JSON
  internalId: String
  internalBrandId: String
  count(
    field: String!
    conditions: Conditions
  ): Int
  countDistinct(
    field: String!
    conditions: Conditions
  ): Int
  has(
    field: String!
    conditions: Conditions
  ): Boolean
  sum(
    field: String!
    conditions: Conditions
  ): Int
  min(
    field: String!
    conditions: Conditions
  ): Int
  max(
    field: String!
    conditions: Conditions
  ): Int
  avg(
    field: String!
    conditions: Conditions
  ): Float
  collect(
    field: String!
    separator: String
    conditions: Conditions
  ): String
  minDateTime(
    field: String!
    conditions: Conditions
  ): DateTime
  maxDateTime(
    field: String!
    conditions: Conditions
  ): DateTime
  _fn: JSON
}

Fields​

BrandName.name ● String scalar​

The customer-facing version of the name that best represents the business.

This is generated by combining and ranking the business names from scraped data sources.

BrandName.nameFullTextSearchVector ● String scalar​

BrandName.rank ● Int scalar​

Determines the display order of the attribute, with lower values shown first

BrandName.id ● UUID! non-null scalar​

BrandName.firstObservedDate ● String scalar​

BrandName.lastObservedDate ● String scalar​

BrandName.recordCount ● String scalar​

Total number of upstream source records (e.g. government filings, business registrations, third-party database records) linked to this brand.

BrandName.recordSources ● JSON scalar​

Distinct titles of the upstream datasets from which the linked records were sourced.

BrandName.recordTags ● JSON scalar​

Distinct tags (regulatory level, filing type, subject domain, geography) across all linked records.

BrandName.recordTagCounts ● JSON scalar​

Map of tag to the number of linked records carrying that tag.

BrandName.recordSourceCounts ● JSON scalar​

Map of source dataset title to the number of linked records from that dataset.

BrandName.internalId ● String scalar​

BrandName.internalBrandId ● String scalar​

BrandName.count ● Int scalar​

BrandName.count.field ● String! non-null scalar​
BrandName.count.conditions ● Conditions input​

BrandName.countDistinct ● Int scalar​

BrandName.countDistinct.field ● String! non-null scalar​
BrandName.countDistinct.conditions ● Conditions input​

BrandName.has ● Boolean scalar​

BrandName.has.field ● String! non-null scalar​
BrandName.has.conditions ● Conditions input​

BrandName.sum ● Int scalar​

BrandName.sum.field ● String! non-null scalar​
BrandName.sum.conditions ● Conditions input​

BrandName.min ● Int scalar​

BrandName.min.field ● String! non-null scalar​
BrandName.min.conditions ● Conditions input​

BrandName.max ● Int scalar​

BrandName.max.field ● String! non-null scalar​
BrandName.max.conditions ● Conditions input​

BrandName.avg ● Float scalar​

BrandName.avg.field ● String! non-null scalar​
BrandName.avg.conditions ● Conditions input​

BrandName.collect ● String scalar​

BrandName.collect.field ● String! non-null scalar​
BrandName.collect.separator ● String scalar​
BrandName.collect.conditions ● Conditions input​

BrandName.minDateTime ● DateTime scalar​

BrandName.minDateTime.field ● String! non-null scalar​
BrandName.minDateTime.conditions ● Conditions input​

BrandName.maxDateTime ● DateTime scalar​

BrandName.maxDateTime.field ● String! non-null scalar​
BrandName.maxDateTime.conditions ● Conditions input​

BrandName._fn ● JSON scalar​

Interfaces​

NodeFunctions interface​

Member Of​

BrandNameEdge object

Last updated on