OperatingLocationRevenueQuality

Description

Warnings and issues related to the revenue of this operating location.

type OperatingLocationRevenueQuality implements NodeFunctions {
  id: UUID!
  firstObservedDate: String
  lastObservedDate: String
  rank: Int
  issueReason: String
  issueSeverity: String
  issueDescription: String
  internalId: String
  internalOperatingLocationId: 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

`OperatingLocationRevenueQuality.id` ● `UUID!` non-null scalar

`OperatingLocationRevenueQuality.firstObservedDate` ● `String` scalar

`OperatingLocationRevenueQuality.lastObservedDate` ● `String` scalar

`OperatingLocationRevenueQuality.rank` ● `Int` scalar

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

`OperatingLocationRevenueQuality.issueReason` ● `String` scalar

The reason for the revenue quality issue.

The reasons signify the following:

**OVER_100X_REVENUE_AND_20M_ANNUAL_REVENUE_EXTRAPOLATION** (HIGH severity): 100x and $20M annual revenue extrapolated by our models from raw revenue sources.
**OVER_100X_REVENUE_EXTRAPOLATION** (HIGH severity): 100x revenue extrapolated by our models from raw revenue sources.
**OVER_20M_ANNUAL_REVENUE_EXTRAPOLATION** (HIGH severity): $20M annual revenue extrapolated by our models from raw revenue sources.
**REVENUE_DECREASE_TO_0_PCT_LOCATION_OPEN** (HIGH severity): Revenue drops to zero and location status is currently open.
**REVENUE_DECREASE_TO_20_PCT_LOCATION_OPEN** (HIGH severity): Revenue drop to 20% of the median revenue over the past 12 months and location status is currently open.
**CLOSED_BUT_STILL_HAVE_POSITIVE_REVENUE** (HIGH severity): Operating location is identified as Closed or Temporarily Closed for over 2 months but still has positive revenue.
**12M_REVENUE_LOWER_THAN_5K** (HIGH severity): 12m revenue <$5K for operating location that is card-accepting, mostly offline, not newly open.
**REVENUE_INCREASE_TO_250_PCT_IN_LAST_18M** (HIGH severity): Revenue increase to 250% of the median revenue for 3 months in the past 18 months.
**REVENUE_INCREASE_TO_250_PCT_ALL_TIME** (HIGH severity): Revenue increase to 250% of the median revenue for 3 months at any point in its revenue history.
**GREATER_THAN_10X_INTERQUARTILE_RANGE_ABOVE_Q3_WITHIN_BRAND** (HIGH severity): Operating location revenue in the last 12 months is 10x IQR over p75 of operating locations within brand.
**GREATER_THAN_5X_INTERQUARTILE_RANGE_ABOVE_Q3_WITHIN_BRAND** (MEDIUM severity): Operating location revenue in the last 12 months is 5x IQR over p75 of operating locations within brand.
**OVERLY_HIGH_PCT_OF_BRAND_REV** (MEDIUM severity): Operating location contributes very high portion of revenue for the brand.
- >10% brand revenue for brands with >= 100 open operating locations
- >30% brand revenue for brands with >= 10 open operating locations
- >50% brand revenue for brands with >= 4 open operating locations
**REVENUE_DECREASE_TO_0_PCT_LOCATION_UNKNOWN** (MEDIUM severity): Revenue drop to zero and location status is currently unknown.
**REVENUE_DECREASE_TO_20_PCT_LOCATION_UNKNOWN** (MEDIUM severity): Revenue drop to 20% of the median revenue over the past 12 months and location status is currently unknown.
**EXCEED_P99_WITHIN_4_DIGIT_NAICS** (MEDIUM severity): Operating location revenue is greater than 99th percentile revenue within its 4-digit naics code in last 12m.