Office Data Dictionary

Field ID	Entity	Field Path	Type	Description	Reveal All False (Y/N)
2	office	office_data.office_last_modified_date	string (YYYY-MM-DD HH:MM:SS)	The date when the organization data was last modified.	Yes
3	office	office_data.office_last_seen_date	string (YYYY-MM-DD HH:MM:SS)	The date when the organization data was last seen.	Yes
4	company	office_data.company_id	string	Organization's identifier, a proprietary organizational identifier owned and managed by Rhetorik, provides unique identification to the organization.	Yes
5	company	office_data.company_name	string	The single name by which the organization is primarily known / identified.	Yes
6	company	office_data.company_domain	string	A unique name used to identify the website of the organization which serves as an address to access that website.	Yes
7	company	office_data.company_description	string	A brief description of the organization's mission and activities.	Yes
8	company	office_data.company_logo_url	string	The web URL uniquely identifies the organization's logo.	Yes
9	office	office_data.office_id	string	Organization's office identifier, a proprietary organizational identifier owned and managed by Rhetorik, provides unique identification to the organization.	Yes
10	office	office_data.office_name	string	The office name by which the organization location is primarily known / identified.	Yes
11	office	office_data.office_domain	string	A unique office name used to identify the website of the organization which serves as an address to access that website.	Yes
12	office	office_data.office_type	string	The organizational reference type helps classified organizations.	Yes
13	office	office_data.office_number_of_detected_technologies	integer	Number of detected technologies at this organization level identified by Rhetorik.	Yes
14	office	office_data.office_number_of_profiles	integer	Number of professional profiles at this organization level identified by Rhetorik.	Yes
15	office	office_data.office_alternative_names	object	The different names used to identify and refer to the organization.	No
16	office	office_data.office_alternative_names.trade_names	array of string	The sequence in which the organization primarily uses this trade names.	Yes
17	office	office_data.office_alternative_names.alias_names[]	array of string	The sequence in which the organization uses its alias names.	Yes
18	office	office_data.office_alternative_names.previous_names[]	array of string	The sequence in which the organization uses its previous/last name.	Yes
19	office	office_data.office_phones[]	array of object	The different phones use to reach the organization.	No
20	office	office_data.office_phones[].phone	string	The phone number of the organization can be directly used for dialing. This sequence of digits includes the international dialing code, the area code or city code, and the domestic phone number.	No
21	office	office_data.office_phones[].ddi	boolean	When 'true' indicates that the phone number enables callers to dial through to a particular extension without speaking to the switchboard operator.	No
22	office	office_data.office_phones[].dnc	boolean	When 'true' indicates that the phone number cannot be connected successfully, 'false' indicates that the phone number can be connected successfully.	No
23	office	office_data.office_phones[].type	string	The phone reference type of line used in the organization.	No
24	office	office_data.office_phones[].carrier	string	The phone carrier used in the organization.	No
28	office	office_data.office_phones[].priority	integer	The sequence in which the organization primarily uses this phone number.	No
29	office	office_data.office_fax	object	The fax use to reach the organization.	No
30	office	office_data.office_fax.fax	string	The fax number of the organization can be directly used. This sequence of digits includes the international dialing code, the area code or city code, and the domestic fax number.	No
31	office	office_data.office_fax.type	string	The fax reference type of line used in the organization	No
32	office	office_data.office_fax.carrier	string	The fax line carrier used in the organization.	No
36	office	office_data.office_emails[]	array of object	The different emails use to reach the organization.	No
37	office	office_data.office_emails[].email	string	Generic email address for the organization.	No
41	office	office_data.office_emails[].priority	integer	The sequence in which the organization primarily uses this email.	No
42	office	office_data.office_web_address	object	The web address of the organization.	Yes
43	office	office_data.office_web_address.url	string	The web address (URL) uniquely identifies the organization's proprietary website.	Yes
44	office	office_data.office_web_address.rank	integer	The overall web address classification rank of the organization in terms of web traffic.	No
47	office	office_data.office_web_address_aliases[]	array of string	The sequence in which the organization office uses its web address alias names.	Yes
48	office	office_data.office_domain_aliases	array of string	List of alternate web address (URL) used by the organization office.	Yes
49	office	office_data.office_social_links	object	The different social networks used by the organization.	Yes
50	office	office_data.office_social_links.linkedin	object	Organization's LinkedIn information.	Yes
51	office	office_data.office_social_links.linkedin.url	string	Organization's LinkedIn web address (URL).	Yes
54	office	office_data.office_social_links.twitter	object	Organization's Twitter information.	No
55	office	office_data.office_social_links.twitter.url	string	Organization's Twitter web address (URL).	No
58	office	office_data.office_social_links.facebook	object	Organization's Facebook information.	No
59	office	office_data.office_social_links.facebook.url	string	Organization's Facebook web address (URL).	No
62	office	office_data.office_social_links.instagram	object	Organization's Instagram information.	No
63	office	office_data.office_social_links.instagram.url	string	Organization's Instagram web address (URL).	No
66	office	office_data.office_social_links.youtube	object	Organization's Youtube information.	No
67	office	office_data.office_social_links.youtube.url	string	Organization's Youtube web address (URL).	No
70	office	office_data.office_social_links.yelp	object	Organization's Yelp information.	No
71	office	office_data.office_social_links.yelp.url	string	Organization's Yelp web address (URL).	No
74	office	office_data.office_social_links.crunchbase	object	Organization's Crunchbase information.	No
75	office	office_data.office_social_links.crunchbase.url	string	Organization's Crunchbase web address (URL).	No
78	office	office_data.office_tags[]	array of string	A series of terms which represents the organization at the textual level. Allows to classify organizations according to other axes.	No
79	office	office_data.office_national_registration	object	The office national registration information.	No
80	office	office_data.office_national_registration.name	string	The name of the registrar in this country.	No
81	office	office_data.office_national_registration.number	string	The office number used by this registrar.	No
82	office	office_data.office_profile	object	The organization's profile information.	Yes
83	office	office_data.office_profile.date_founded	date	Office foundation date.	Yes
84	office	office_data.office_profile.date_closed	date	Office closure date.	Yes
85	office	office_data.office_profile.marketable	boolean	Indicates that the office can be contacted for Sales & Marketing use-cases.	Yes
86	office	office_data.office_status	object	Organization's status information.	Yes
87	office	office_data.office_status.status	string	Organization's operating status.	Yes
90	office	office_data.office_employees	object	Organization's on site employee information.	Yes
91	office	office_data.office_employees.number_of_employees	integer	The on site number of people employed by an organization to perform its business operations.	Yes
92	office	office_data.office_employees.number_of_employees_code	string	The on site number of people, classified according to a range, employed by an organization to perform its business operations.	Yes
93	office	office_data.office_financials[]	array of object	Organization's financials information.	Yes
94	office	office_data.office_financials[].yearly_revenue	object	Organization's financials yearly revenue information.	No
95	office	office_data.office_financials[].yearly_revenue.revenue	float	Annual revenue received from customers from the sale of the organization's goods and/or services for the year indicated. This means the gross sales minus any returns, rebates/discounts, allowances for damages or shortages, shipping expenses passed on to the customer, and amounts due where there is not a reasonable expectation of collection.	No
96	office	office_data.office_financials[].yearly_revenue.code	string	Annual revenue received from customers from the sale of the organization's goods and/or services, classified according to a range, for the year indicated.	Yes
97	office	office_data.office_financials[].yearly_revenue.currency	string	Annual revenue currency code, identifying the type of money in which this revenue is expressed. The three-letter currency code, defined in the ISO 4217 scheme (e.g., USD, CAD, GBP, EUR.) published by International Organization for Standardization (ISO) is used.	Yes
98	office	office_data.office_financials[].yearly_revenue.year	integer	Annual revenue year.	Yes
99	office	office_data.office_financials[].yearly_revenue.reported_date	string (YYYY-MM-DD)	Date on which the financial statements were deposited.	Yes
100	office	office_data.office_financials[].yearly_revenue.type	string	Annual revenue type. (e.g., actual, inferred, modeled, etc.) for the year indicated.	Yes
102	office	office_data.office_financials[].yearly_growth	object	Company's financials yearly growth information.	No
103	office	office_data.office_financials[].yearly_growth.percentage	float	The percentage of the variation in the organization's income from the previous year.	No
104	office	office_data.office_financials[].yearly_growth.code	string	Range of company financials yearly growth.	No
105	office	office_data.office_financials[].yearly_growth.year	integer	Annual revenue growth year.	No
106	office	office_data.office_financials[].yearly_growth.type	string	Annual revenue growth type. (e.g., actual, inferred, modeled, etc.) for the year indicated.	No
108	office	office_data.office_financials[].priority	integer	Organization's financial information is normally used (in descending order of year).	No
109	office	office_data.office_revenue_in_usd	float	The current revenue of the organization converted into US dollars.	Yes
110	office	office_data.office_revenue_in_usd_code	string	The current revenue of the organization converted into US dollars classified according to a range.	Yes
111	office	office_data.office_industries[]	array of object	The organization's industries information.	Yes
112	office	office_data.office_industries[].id	string	The unique identifier for the organization industry (Concatenation of the industry standard and "_" the highest industry code not null).	Yes
113	office	office_data.office_industries[].code2	string	Two-digit code that represents the organization's industry.	Yes
114	office	office_data.office_industries[].name2	string	The name associated with the two-digit code which represents the organization's industry.	Yes
115	office	office_data.office_industries[].code3	string	Three-digit code that represents the organization's industry.	Yes
116	office	office_data.office_industries[].name3	string	The name associated with the three-digit code which represents the organization's industry.	Yes
117	office	office_data.office_industries[].code4	string	Four-digit code that represents the organization's industry.	Yes
118	office	office_data.office_industries[].name4	string	The name associated with the four-digit code which represents the organization's industry.	Yes
119	office	office_data.office_industries[].code5	string	Five-digit code that represents the organization's industry.	Yes
120	office	office_data.office_industries[].name5	string	The name associated with the five-digit code which represents the organization's industry.	Yes
121	office	office_data.office_industries[].code6	string	Six-digit code that represents the organization's industry.	Yes
122	office	office_data.office_industries[].name6	string	The name associated with the six-digit code which represents the organization's industry.	Yes
123	office	office_data.office_industries[].standard	string	The name of the standard of the industry associated with the organization.	Yes
124	office	office_data.office_industries[].activity_priority	integer	Represents the priority of the activity of the industry identified in relation to the other activities of the organization.	Yes
125	office	office_data.office_industries[].priority	integer	Represents the priority of the activity of the industry identified in relation to the other activities of the organization.	Yes
126	office	office_data.office_primary_address	object	Organization's primary address information.	Yes
127	office	office_data.office_primary_address.last_modified_date	string (YYYY-MM-DD HH:MM:SS)	Last modified Date when the organization primary address.	No
128	office	office_data.office_primary_address.formatted_address	string	Primary address used by the organization in a human-readable format.	Yes
129	office	office_data.office_primary_address.street_address	string	The primary street address used by the organization.	No
130	office	office_data.office_primary_address.place_id	string	Google GeoCoding Place ID of the organization's primary address.	No
131	office	office_data.office_primary_address.lat	float	Latitude of the organization's primary address.	No
132	office	office_data.office_primary_address.lng	float	Longitude of the organization's primary address.	No
133	office	office_data.office_primary_address.accuracy	string	Geocoding accuracy for the organization's primary address.	No
134	office	office_data.office_primary_address.confidence_score	float	Geocoding confidence score for the organization's primary address.	No
135	office	office_data.office_primary_address.quality	string	Geocoding quality for the organization's primary address.	No
136	office	office_data.office_primary_address.administrative_area_level_1	string	Geocoding administrative level 1 of the organization's primary address.	No
137	office	office_data.office_primary_address.administrative_area_level_2	string	Geocoding administrative level 2 of the organization's primary address.	No
138	office	office_data.office_primary_address.administrative_area_level_3	string	Geocoding administrative level 3 of the organization's primary address.	No
139	office	office_data.office_primary_address.administrative_area_level_4	string	Geocoding administrative level 4 of the organization's primary address.	No
140	office	office_data.office_primary_address.administrative_area_level_5	string	Geocoding administrative level 5 of the organization's primary address.	No
141	office	office_data.office_primary_address.continent	string	Continent name of the organization's primary address.	Yes
142	office	office_data.office_primary_address.country	string	Country name of the organization's primary address.	Yes
143	office	office_data.office_primary_address.country_code	string	Country code of the organization's primary address.	Yes
144	office	office_data.office_primary_address.establishment	string	Geocoding establishment typically indicates a place that has not yet been categorized.	No
145	office	office_data.office_primary_address.locality	string	Geocoding locality indicates an incorporated city or town political entity.	No
146	office	office_data.office_primary_address.postal_code	string	Postal code of the organization's primary address.	Yes
147	office	office_data.office_primary_address.postal_town	string	Postal town of the organization's primary address.	Yes
148	office	office_data.office_primary_address.premise	string	Geocoding premise indicates a named location, usually a building or collection of buildings with a common name.	No
149	office	office_data.office_primary_address.county	string	County of the organization's primary address.	Yes
150	office	office_data.office_primary_address.state	string	Region of the organization's primary address.	Yes
151	office	office_data.office_primary_address.city	string	City of the organization's primary address.	Yes
152	office	office_data.office_primary_address.street	string	Street of the organization's primary address.	Yes
153	office	office_data.office_primary_address.street_number	string	Street number of the organization's primary address.	Yes
154	office	office_data.office_primary_address.sublocality	string	Geocoding sub-locality is used for mailing addresses in some countries.	Yes
155	office	office_data.office_primary_address.subpremise	string	Geocoding sub-premise indicates a first-order entity below a named location, usually a singular building within a collection of buildings with a common name.	Yes
156	office	office_data.office_primary_address.score	float	Indicates, as a percentage, the score of the primary address.	No
161	office	office_metrics	object	The office metrics information.	Yes
162	office	office_metrics.marketability_score	float	Rhetorik proprietary marketability score of the office.	Yes
163	office	office_metrics.completion_score	float	Rhetorik completion score of the office.	No