AI Assistant context
👉🏻 Here is the information we use for the AI Search as of 7 juillet 2025
AI Search uses information from the assets most relevant to the user's question, and then generates an answer based on that.
Terms (Knowledge pages)
id
name
description
tags
slug
type =
TERMscore (relevant score)
Tables
id
name
description
tags
slug
type =
TABLEtableType:
EXTERNAL/TABLE/TOPIC/VIEWscore (relevant score)
Dashboards
id
name
description
path
slug
dashboardType:
DASHBOARD/TILE/VIZ_MODELsource (sourceName)
tags
technology
type =
DASHBOARDscore (relevant score)
Columns
id
name
description
dataType
isPii
isPrimaryKey
tableId
tableName
type =
COLUMNscore (relevant score)
ℹ️ For catalog assets (tables, dashboards, or columns), we will also take into account assets pinned to knowledge pages that are related to the user’s question
payload example
terms
{ "terms": [ { "description": "DEFINITION\n\nMonthly Recurring Revenue (MRR) is a key financial metric that represents the\npredictable and recurring revenue generated by a business on a monthly basis. It\nis particularly relevant for subscription-based businesses as it provides a\nclear view of revenue trends and growth potential. Understanding MRR helps\nbusiness analysts and decision-makers evaluate the company's financial health,\nforecast future revenue, and identify opportunities for growth or improvement.\n\n\nKEY METRICS & ENTITIES\n\n * Total MRR\n * New MRR\n * Expansion MRR\n * Churned MRR\n * Net MRR Growth Rate\n * Customer Segments\n * Subscription Plans\n\n\nKEY STAKEHOLDERS\n\n * Finance Team\n * Sales Team\n * Marketing Team\n * Product Team\n * Executive Leadership\n\n\nRELATED DOMAINS\n\n * Customer Retention\n * Revenue Forecasting\n * Churn Analysis\n * Customer Lifetime Value (CLV)\n * Subscription Management", "id": "1e0b1aea-961f-4fa4-aa3f-5ab66a8ccc86", "internalLink": "https://staging.castordoc.com/terms/-ddff7a34", "name": "MRR", "slug": "-ddff7a34", "score": 0.42455316, "tags": [], "type": "TERM" }, { "description": "🐻 WHO WE ARE 🐻\n\n At Timber, we believe that robotics is the future of innovation. Our products aim\n to revolutionize everyday tasks through advanced automation. Timber robots are\n designed to be intelligent, efficient, and collaborative, offering solutions\n that simplify complex problems while enhancing productivity. By doing so, we\n empower businesses and individuals to achieve more with cutting-edge robotics.\n\n Since our founding, Timber has been at the forefront of innovation, driving\n progress in sectors from electric vehicles to energy solutions. Now, with the\n creation of Timber Robotics, we are taking the next step in automation. Our\n robots are already making an impact across various industries, from\n manufacturing to healthcare.\n\n Our team, 40+ people strong, consists of experts and soon-to-be experts in\n robotics, engineering, and AI, united by a bold vision to transform industries\n through robotics. To support our mission, Timber has raised significant\n investments, gaining support from world-class partners and investors.\n\n\n 👨💻 ABOUT THE ROLE 👩💻\n\n We are looking for a Senior or Principal Product Manager to join our growing\n Timber Robotics team.\n\n The ideal candidate will be skilled at uncovering user needs, identifying pain\n points, and shaping the future of robotics technology. You will join our dynamic\n product team alongside John, Jane, Alex, and Emily.\n\n Our vision is to Revolutionize Automation and Democratize Robotics Access\n\n We focus on three core tracks:\n\n 🎯 Discovery: We enable users to understand and leverage robotic systems\n effectively.\n\n 🏗️ Build Solutions: We streamline the creation and customization of robotics\n applications, making it easier to deploy in various environments.\n\n 🏎️ Drive Innovation: We empower leaders to optimize their operations with smart\n robotics solutions that enhance efficiency and safety.\n\n\n 🏄 ABOUT THE FIT? 🏇\n\n Who are we looking for:\n\n * Experience: You have a strong background in product management, with\n experience discovering new market opportunities, building roadmaps, and\n delivering innovative features.\n * Problem solver: You excel at identifying challenges and digging deep to\n understand the root causes. You obsess over finding the most effective\n solutions for users.\n * Tech curiosity: You are passionate about technology and eager to dive into\n the world of robotics and AI. You will have the opportunity to work with\n cutting-edge technology, including AI and machine learning.\n * Impact maker: You are dedicated to ensuring that the product delivers value\n to end-users, pushing projects forward to see real-world impact.\n * Communication & collaboration skills: You are an excellent communicator, able\n to clearly articulate customer challenges and collaborate across teams.\n * Fluent in English, with strong communication skills.\n\n We offer a dynamic work environment where you can focus on making an impact,\n supported by:\n\n * Competitive compensation packages, including equity\n * Flexible and remote-friendly work environment, with offices in California\n * Any tools and support you need to succeed\n\n\n 👋 HOW TO APPLY\n\n Reach out on LinkedIn to John Doe.\n\n If this offer interests you but you're unsure if you meet 100% of the\n requirements, we still encourage you to apply. We welcome diverse perspectives\n and are open to exploring what you can bring to the team.", "id": "44f6c50c-a7b2-4da9-bcdf-c231fb7828cc", "internalLink": "https://staging.castordoc.com/terms/job-post-4e159f35", "name": "Job post", "slug": "job-post-4e159f35", "score": 0.42678326, "tags": [], "type": "TERM" }, { "description": "Policy Owner: Arnaud de Turckheim Effective Date: 07-Dec-2021 1. Purpose To ensure that information is classified, protected, retained and securely disposed of in accordance with its importance to the organization. 2. Scope All Acme data, information and information systems. 3. Policy Acme classifies data and information systems in accordance with legal requirements, sensitivity, and business criticality in order to ensure that information is given the appropriate level of protection. Data owners are responsible for identifying any additional requirements for specific data or exceptions to standard handling requirements. Information systems and applications shall be classified according to the highest classification 4. Data Classification To help Acme and its employees easily understand requirements associated with different kinds of information, the company has created three classes of data. Confidential Highly sensitive data requiring the highest levels of protection; access is restricted to specific employees or departments, and these records can only be passed to others with approval from the data owner, or a company executive. Example include: ● Customer Data ● Personally identifiable information (PII) ● Company financial and banking data ● Salary, compensation and payroll information ● Strategic plans ● Incident reports ● Risk assessment reports ● Technical vulnerability reports ● Authentication credentials ● Secrets and private keys ● Source code ● Litigation data Restricted Acme proprietary information requiring thorough protection; access is restricted to employees with a “need-to-know” based on business requirements. This data can only be distributed outside the company with approval. This is default for all company information unless stated otherwise. Examples include: ● Internal policies ● Legal documents ● Meeting minutes and internal presentations ● Contracts ● Internal reports ● Slack messages ● Emails Public Documents intended for public consumption which can be freely distributed outside Acme. Examples include: ● Marketing materials ● Product descriptions ● Release notes ● External facing policies 5. Labeling Confidential data should be labeled “confidential” whenever paper copies are produced for distribution. 6. Data Handling Confidential Data Handling Confidential data is subject to the following protection and handling requirements: ● Access for non-preapproved-roles requires documented approval from the data owner ● Access is restricted to specific employees, roles and/or departments ● Confidential systems shall not allow unauthenticated or anonymous access ● Confidential Customer Data shall not be used or stored in non-production systems/environments ● Confidential data shall be encrypted in transit over public networks ● Mobile device hard drives containing confidential data, including laptops, shall be encrypted ● Mobile devices storing or accessing confidential data shall be protected by a log-on password or passcode and shall be configured to lock the screen after five (5) minutes of non-use ● Backups shall be encrypted ● Confidential data shall not be stored on personal phones or devices or removable media including USB drives, CD’s, or DVD’s ● Paper records shall be labeled “confidential” and securely stored and disposed ● Hard drives and mobile devices used to store confidential information must be securely wiped prior to disposal or physically destroyed ● Transfer of confidential data to people or entities outside the company shall only be done in accordance with a legal contract or arrangement, and the explicit written permission of management or the data owner Restricted Data Handling Restricted data is subject to the following protection and handling requirements: ● Access is restricted to users with a need-to-know based on business requirements ● Restricted systems shall not allow unauthenticated or anonymous access ● Transfer of restricted data to people or entities outside the company or authorized users shall require management approval and shall only be done in accordance with a legal contract or arrangement, or the permission of the data owner ● Paper records shall be securely stored and disposed ● Hard drives and mobile devices used to store restricted information must be securely wiped prior to disposal or physically destroyed Public Data Handling No special protection or handling controls are required for public data. Public data may be freely distributed. 7. Data Retention Acme shall retain data as long as the company has a need for its use, or to meet regulatory or contractual requirements. Once data is no longer needed, it shall be securely disposed of or archived. Data owners, in consultation with legal counsel, may determine retention periods for their data. Retention periods shall be documented in the Data Retention Matrix in Appendix B to this policy. 8. Data & Device Disposal Data classified as restricted or confidential shall be securely deleted when no longer needed. Acme shall assess the data and disposal practices of third-party vendors in accordance with the Third-Party Management Policy. Only third-parties who meet Catalog requirements for secure data disposal shall be used for store and process restricted or confidential data. Acme shall ensure that all restricted and confidential data is securely deleted from company devices prior to, or at the time of disposal. 9. Annual Data Review Management shall review data retention requirements during the annual review of this policy. Data shall be disposed of in accordance with this policy. 10. Legal Requirements Under certain circumstances, Acme may become subject to legal proceedings requiring retention of data associated with legal holds, lawsuits, or other matters as stipulated by Catalog legal counsel. Such records and information are exempt from any other requirements specified within this Data Management Policy and are to be retained in accordance with requirements identified by the Legal department. All such holds and special retention requirements are subject to annual review with Acme legal counsel to evaluate continuing requirements and scope. 11. Policy Compliance Acme will measure and verify compliance to this policy through various methods, including but not limited to, business tool reports, and both internal and external audits.", "id": "96ed7b99-8124-4d47-833a-b1014cc795cc", "internalLink": "https://staging.castordoc.com/terms/-db30cba6", "name": "[Example] Data Management Policy", "slug": "-db30cba6", "score": 0.43141475, "tags": [], "type": "TERM" }, { "description": "DEFINITION\n\nMonthly Active Users (MAU) is a key performance metric used to measure the\nnumber of unique users who engage with a product, service, or platform within a\ngiven month. It provides insights into user activity, engagement trends, and\noverall product adoption. For business analysts, MAU is crucial for evaluating\nthe success of customer acquisition strategies, retention efforts, and the\noverall health of a business's user base.\n\n\nIMPORTANCE\n\nTracking MAU helps businesses understand how effectively they are retaining\nusers and driving consistent engagement. It is often used alongside other\nmetrics like Daily Active Users (DAU) or retention rates to assess user behavior\nand identify growth opportunities. By analyzing MAU trends, businesses can make\ndata-driven decisions to improve user experience, optimize marketing campaigns,\nand prioritize product development efforts.\n\n\nCALCULATION\n\nMAU is calculated by counting the number of unique users who interact with a\nproduct or service at least once during a calendar month. This interaction can\ninclude logging in, making a purchase, or performing any other meaningful action\nthat signifies engagement. It is important to ensure that duplicate or inactive\nusers are excluded to maintain accuracy in the metric.\n\n\nUSE CASES\n\nMAU is widely used across industries to monitor user engagement and growth. For\nsubscription-based businesses, it helps evaluate customer retention and churn.\nIn digital platforms, it provides insights into user activity and content\nconsumption. Additionally, MAU is often used by investors and stakeholders to\nassess the scalability and market potential of a business.", "id": "d3907815-201b-4fac-9962-8c74aaa49151", "internalLink": "https://staging.castordoc.com/terms/-2ebeb707", "name": "MAU", "slug": "-2ebeb707", "score": 0.42136905, "tags": [], "type": "TERM" }, { "description": "DEFINITION\n\nARR, or Annual Recurring Revenue, is a key financial metric used to measure the\npredictable and recurring revenue generated by a business over a year. It is\nparticularly relevant for subscription-based or SaaS (Software as a Service)\nbusinesses as it provides insights into the company's revenue stability and\ngrowth potential. Understanding ARR helps business users evaluate performance,\nforecast future revenue, and make informed strategic decisions.\n\n\nKEY METRICS & ENTITIES\n\n * Total ARR\n * New ARR (revenue from new customers)\n * Expansion ARR (revenue from upselling or cross-selling to existing customers)\n * Churned ARR (revenue lost due to customer cancellations)\n * Net ARR Growth Rate\n * Customer Segments\n * Subscription Plans\n\n\nKEY STAKEHOLDERS\n\n * Finance Team\n * Sales Team\n * Marketing Team\n * Customer Success Team\n * Executive Leadership\n\n\nRELATED DOMAINS\n\n * Revenue\n * Customer Retention\n * Sales Performance\n * Subscription Management\n * Financial Forecasting", "id": "e3ec14f9-d5f5-4fc7-a942-ab06f2ff3c89", "internalLink": "https://staging.castordoc.com/terms/-3e45f6c0", "name": "ARR", "slug": "-3e45f6c0", "score": 0.4504192, "tags": [], "type": "TERM" } ] }tables
{ "tables": [ { "description": "Each row represents a user in your organization.\nActive users is a measurement metric that is commonly used to measure the level of engagement a particular product or object, by quantifying the number of active interactions from visitors within a relevant range of time (daily, weekly and monthly). The metric has many uses in both commerce and academia, such as on social networking services, online games, or mobile apps. Although having extensive uses in digital behavioural learning, prediction and reporting, it also has impacts on the privacy and security, and ethical factors should be considered thoroughly. Like any metric, active users may have limitations and criticisms. Active Users is relatively new or neologistic in nature, that became important with the rise of the commercialised internet, with uses in communication and social-networking. It measures how many users visit or interact with the product or service over a given interval or period. This metric is commonly assessed per month as monthly active users (MAU), per week as weekly active users (WAU), per day as daily active users (DAU) or peak concurrent users (PCU).\nSELECT Db_Name(Database_id),\n String_Agg(Login_Name + ' (' + Convert(VARCHAR(8), No_Sessions) + ')', ', ')\n FROM\n (\n SELECT database_id, login_name, Count(*) AS No_Sessions\n FROM sys.dm_exec_connections AS A\n INNER JOIN sys.dm_exec_sessions AS B\n ON A.session_id = B.session_id\n GROUP BY login_name, database_id\n ) AS f(Database_id, Login_Name, No_Sessions)\n GROUP BY Database_id;", "id": "27f924f6-b702-4f0a-b254-deb1c201929d", "internalLink": "https://staging.castordoc.com/data/tables/d-table-user", "name": "user", "slug": "d-table-user", "score": 0.45968664, "tableType": "TABLE", "tags": [ "finance", "sales", "campaign #3", "criticality:4-low", "source:salesforce", "metrics:mrr", "domain:marketing" ], "type": "TABLE" }, { "description": "Represents an opportunity, which is a sale or pending deal.", "id": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "internalLink": "https://staging.castordoc.com/data/tables/d-table-opportunity", "name": "opportunity", "slug": "d-table-opportunity", "score": 0.47584286, "tableType": "VIEW", "tags": [ "finance", "source:salesforce" ], "type": "TABLE" }, { "description": "", "id": "74de041a-0534-4885-88f7-e20268f63e52", "internalLink": "https://staging.castordoc.com/data/tables/fct-profit-b6a32", "name": "fct_profit", "slug": "fct-profit-b6a32", "score": 0.4596931, "tableType": "TABLE", "tags": [ "source:salesforce" ], "type": "TABLE" }, { "description": "", "id": "a9c201aa-d8c2-4b12-aad5-dc4043ab7590", "internalLink": "https://staging.castordoc.com/data/tables/fct-acquisition-events-3ebe5", "name": "fct_acquisition_events", "slug": "fct-acquisition-events-3ebe5", "score": 0.47976118, "tableType": "TABLE", "tags": [], "type": "TABLE" }, { "description": "", "id": "fed5fbd6-2410-4f54-a0f4-4f4d9724da52", "internalLink": "https://staging.castordoc.com/data/tables/fct-entities-mrr-reg-aac08", "name": "fct_entities_mrr_reg", "slug": "fct-entities-mrr-reg-aac08", "score": 0.45876038, "tableType": "TABLE", "tags": [], "type": "TABLE" } ] }dashboards
{ "dashboards": [ { "dashboardType": "DASHBOARD", "description": "Accounts and Users dashboards", "id": "0c75af9a-68e9-4c42-81c7-d83f9d8048c5", "internalLink": "https://staging.castordoc.com/dashboards/package-cognos-timber-9d8048c5", "name": "Accounts and Users", "path": "/", "slug": "package-cognos-timber-9d8048c5", "score": 0.4647782, "source": "IBM Cognos", "tags": [], "technology": "COGNOS", "type": "DASHBOARD" }, { "dashboardType": "VIZ_MODEL", "description": "Catalog Accounts and Users Module viz model", "id": "2d4e485f-f6b3-4906-96cf-00fb28a50e90", "internalLink": "https://staging.castordoc.com/dashboards/package-cognos-timber-28a50e90", "name": "Catalog Accounts and Users Module", "path": "/__VIZ_MODEL__", "slug": "package-cognos-timber-28a50e90", "score": 0.46146128, "source": "IBM Cognos", "tags": [], "technology": "COGNOS", "type": "DASHBOARD" }, { "dashboardType": "TILE", "description": "Battery Deliveries Dashboard", "id": "8be27aa5-9be5-4f47-9eca-34b09725a108", "internalLink": "https://staging.castordoc.com/dashboards/8-dashboard-Battery-Deliveries", "name": "Battery Deliveries", "path": "/operations/deliveries", "slug": "8-dashboard-Battery-Deliveries", "score": 0.46035412, "source": "Looker", "tags": [ "domain:marketing", "source:salesforce", "finance" ], "technology": "LOOKER", "type": "DASHBOARD" }, { "dashboardType": "VIZ_MODEL", "description": "All dimensions and metrics about Items contained in Orders", "id": "cb5ef340-fc3f-4099-9bbe-31baeb5b4380", "internalLink": "https://staging.castordoc.com/dashboards/item-pb-timber-df45eb86", "name": "Item", "path": "/__VIZ_MODEL__", "slug": "item-pb-timber-df45eb86", "score": 0.7246148, "source": "PowerBi", "tags": [ "bi team" ], "technology": "POWERBI", "type": "DASHBOARD" }, { "dashboardType": "VIZ_MODEL", "description": "All dimensions and metrics about Items contained in Deliveries", "id": "e265efe5-3c1c-43f2-a1c6-bf044cbdf196", "internalLink": "https://staging.castordoc.com/dashboards/package-sig-timber-8b6b5dea", "name": "Package", "path": "/__VIZ_MODEL__", "slug": "package-sig-timber-8b6b5dea", "score": 0.73409593, "source": "Sigma", "tags": [ "bi team" ], "technology": "SIGMA", "type": "DASHBOARD" } ] }columns
{ "columns": [ { "description": "ID of a related Campaign. This field is defined only for those organizations that have the campaign feature Campaigns enabled.", "id": "261a2e2d-531f-4525-bb0e-3c66c6349ff9", "internalLink": "https://staging.castordoc.com/data/tables/d03f3278-0f9a-40b1-bbe6-f8e7c0d14046/columns/campaign_id", "name": "campaign_id", "score": 1.719985, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "d03f3278-0f9a-40b1-bbe6-f8e7c0d14046", "tableName": "user" }, { "description": "The timestamp when the current user last accessed this record, a record related to this record, or a list view.", "id": "314906dc-5fd7-4837-876b-bfee39b6ae63", "internalLink": "https://staging.castordoc.com/data/tables/42bf7abd-10d3-43e3-b594-7ccda7b1f02c/columns/last_referenced_date", "name": "last_referenced_date", "score": 2.6780999, "type": "COLUMN", "dataType": "Timestamp", "isPii": false, "isPrimaryKey": false, "tableId": "42bf7abd-10d3-43e3-b594-7ccda7b1f02c", "tableName": "account" }, { "description": "Path to be combined with the URL of a Salesforce instance (https://yourInstance.salesforce.com) to generate a URL to request the socialnetwork profile image associated with the account.", "id": "49bceb54-f3bc-42d1-8ba1-902364de7228", "internalLink": "https://staging.castordoc.com/data/tables/42bf7abd-10d3-43e3-b594-7ccda7b1f02c/columns/photo_url", "name": "photo_url", "score": 2.3301709, "type": "COLUMN", "dataType": "String", "isPii": false, "isPrimaryKey": false, "tableId": "42bf7abd-10d3-43e3-b594-7ccda7b1f02c", "tableName": "account" }, { "description": "Required. This field is a restricted picklist field. A User time zone affects the offset used when displaying or entering times in the user interface.", "id": "4e9449da-27d2-477f-becc-96facbc2af74", "internalLink": "https://staging.castordoc.com/data/tables/2e27d5e4-0662-47b1-a0af-91e04774dcdd/columns/time_zone_sid_key", "name": "time_zone_sid_key", "score": 2.4199986, "type": "COLUMN", "dataType": "String", "isPii": false, "isPrimaryKey": false, "tableId": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "tableName": "opportunity" }, { "description": "Used with ShippingLongitude to specify the precise geolocation of a shipping address.", "id": "59baa6e8-6f03-4031-8df8-029732af1738", "internalLink": "https://staging.castordoc.com/data/tables/42bf7abd-10d3-43e3-b594-7ccda7b1f02c/columns/shipping_latitude", "name": "shipping_latitude", "score": 2.4199986, "type": "COLUMN", "dataType": "Float", "isPii": true, "isPrimaryKey": false, "tableId": "42bf7abd-10d3-43e3-b594-7ccda7b1f02c", "tableName": "account" }, { "description": "Indicates whether a user has a profile photo (true) ornot (false).", "id": "7e1c05d7-33d8-45d7-96d8-efdc93cd82d4", "internalLink": "https://staging.castordoc.com/data/tables/2e27d5e4-0662-47b1-a0af-91e04774dcdd/columns/is_profile_photo_active", "name": "is_profile_photo_active", "score": 3.314382, "type": "COLUMN", "dataType": "Boolean", "isPii": false, "isPrimaryKey": false, "tableId": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "tableName": "opportunity" }, { "description": "ID of a related Pricebook2 object. The Pricebook2Id field indicates which Pricebook2 applies to this opportunity. The Pricebook2Id field is defined only for those organizations that have products enabled as a feature. You can specify values for only one field (`Pricebook2Id` or `PricebookId`)—not both fields. For this reason, both fields are declarednillable.", "id": "86696957-fabd-4934-acd4-b0b6c599a6a5", "internalLink": "https://staging.castordoc.com/data/tables/d03f3278-0f9a-40b1-bbe6-f8e7c0d14046/columns/Pricebook2Id", "name": "Pricebook2Id", "score": 1.5717354, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "d03f3278-0f9a-40b1-bbe6-f8e7c0d14046", "tableName": "user" }, { "description": "A brief description of an organization’s line of business, based on its SIC code.", "id": "9a9cd28a-03f7-4fa5-a824-713d9353a13f", "internalLink": "https://staging.castordoc.com/data/tables/27f924f6-b702-4f0a-b254-deb1c201929d/columns/sic_desc", "name": "sic_desc", "score": 2.058366, "type": "COLUMN", "dataType": "String", "isPii": false, "isPrimaryKey": false, "tableId": "27f924f6-b702-4f0a-b254-deb1c201929d", "tableName": "user" }, { "description": "A brief description of an organization’s line of business, based on its SIC code.", "id": "a2a073ae-7f9c-4587-8291-7ce50ada522a", "internalLink": "https://staging.castordoc.com/data/tables/d03f3278-0f9a-40b1-bbe6-f8e7c0d14046/columns/sic_desc", "name": "sic_desc", "score": 2.058366, "type": "COLUMN", "dataType": "String", "isPii": false, "isPrimaryKey": false, "tableId": "d03f3278-0f9a-40b1-bbe6-f8e7c0d14046", "tableName": "user" }, { "description": "The timestamp when the current user last accessed this record, a record related to this record, or a list view.", "id": "a6b6f98b-1614-49e6-b767-3bdebed388b1", "internalLink": "https://staging.castordoc.com/data/tables/27f924f6-b702-4f0a-b254-deb1c201929d/columns/last_referenced_date", "name": "last_referenced_date", "score": 2.6780999, "type": "COLUMN", "dataType": "Timestamp", "isPii": false, "isPrimaryKey": false, "tableId": "27f924f6-b702-4f0a-b254-deb1c201929d", "tableName": "user" }, { "description": "ID of a related Campaign. This field is defined only for those organizations that have the campaign feature Campaigns enabled.", "id": "aa081de1-5884-49d3-9f49-754064252323", "internalLink": "https://staging.castordoc.com/data/tables/27f924f6-b702-4f0a-b254-deb1c201929d/columns/campaign_id", "name": "campaign_id", "score": 1.719985, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "27f924f6-b702-4f0a-b254-deb1c201929d", "tableName": "user" }, { "description": "References the ID of a company in Data.com. If an account has a value in this field, it means that the account was imported from Data.com.", "id": "b2ced45e-7292-4a17-8a5c-62abd61a886d", "internalLink": "https://staging.castordoc.com/data/tables/42bf7abd-10d3-43e3-b594-7ccda7b1f02c/columns/jigsaw_company_id", "name": "jigsaw_company_id", "score": 2.3742354, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "42bf7abd-10d3-43e3-b594-7ccda7b1f02c", "tableName": "account" }, { "description": "ID of a related Pricebook2 object. The Pricebook2Id field indicates which Pricebook2 applies to this opportunity. The Pricebook2Id field is defined only for those organizations that have products enabled as a feature. You can specify values for only one field (Pricebook2Id or PricebookId)—not both fields. For this reason, both fields are declarednillable.", "id": "b4c50f3a-8e24-45e2-97e1-177ebfc2754b", "internalLink": "https://staging.castordoc.com/data/tables/27f924f6-b702-4f0a-b254-deb1c201929d/columns/Pricebook2Id", "name": "Pricebook2Id", "score": 1.5717354, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "27f924f6-b702-4f0a-b254-deb1c201929d", "tableName": "user" }, { "description": "ID of the Account associated with a Customer Portal user. *This field is null for Salesforce users.*", "id": "b6a17d0d-6513-4751-babc-f098cce607fa", "internalLink": "https://staging.castordoc.com/data/tables/27f924f6-b702-4f0a-b254-deb1c201929d/columns/account_id", "name": "account_id", "score": 1.8740234, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "27f924f6-b702-4f0a-b254-deb1c201929d", "tableName": "user" }, { "description": "Used with BillingLatitude to specify the precise geolocation of a billing address.", "id": "b9fbee07-197a-4bf9-9ae6-fd0d7f0d1f09", "internalLink": "https://staging.castordoc.com/data/tables/42bf7abd-10d3-43e3-b594-7ccda7b1f02c/columns/billing_longitude", "name": "billing_longitude", "score": 2.2028239, "type": "COLUMN", "dataType": "Float", "isPii": true, "isPrimaryKey": false, "tableId": "42bf7abd-10d3-43e3-b594-7ccda7b1f02c", "tableName": "account" }, { "description": "The timestamp when the current user last accessed this record, a record related to this record, or a list view.", "id": "bc5c15dc-f8de-49b2-b9d1-dadfe9e3f50c", "internalLink": "https://staging.castordoc.com/data/tables/d03f3278-0f9a-40b1-bbe6-f8e7c0d14046/columns/last_referenced_date", "name": "last_referenced_date", "score": 2.6780999, "type": "COLUMN", "dataType": "Timestamp", "isPii": false, "isPrimaryKey": false, "tableId": "d03f3278-0f9a-40b1-bbe6-f8e7c0d14046", "tableName": "user" }, { "description": "Read-only field that indicates whether the opportunity has associated line items. A value of true means that Opportunity line items have been created for the opportunity.", "id": "bfec4c3f-29b5-47c1-b679-f1e45f1df68c", "internalLink": "https://staging.castordoc.com/data/tables/d03f3278-0f9a-40b1-bbe6-f8e7c0d14046/columns/has_opportunity_line_item", "name": "has_opportunity_line_item", "score": 1.443192, "type": "COLUMN", "dataType": "Boolean", "isPii": false, "isPrimaryKey": false, "tableId": "d03f3278-0f9a-40b1-bbe6-f8e7c0d14046", "tableName": "user" }, { "description": "Indicates whether the user is enabled as a forecast manager (true) ornot (false).", "id": "e42ee192-f21c-4d8c-bdea-10cb843ec8b2", "internalLink": "https://staging.castordoc.com/data/tables/2e27d5e4-0662-47b1-a0af-91e04774dcdd/columns/forecast_enabled", "name": "forecast_enabled", "score": 2.3301709, "type": "COLUMN", "dataType": "Boolean", "isPii": false, "isPrimaryKey": false, "tableId": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "tableName": "opportunity" }, { "description": "The URL for a thumbnail of the user''s profile photo.", "id": "ef62a4de-c6b1-4c7e-8a32-cd81354f27bb", "internalLink": "https://staging.castordoc.com/data/tables/2e27d5e4-0662-47b1-a0af-91e04774dcdd/columns/small_photo_url", "name": "small_photo_url", "score": 2.2829328, "type": "COLUMN", "dataType": "String", "isPii": false, "isPrimaryKey": false, "tableId": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "tableName": "opportunity" }, { "description": "Id of the user who is a delegated approver for this user.", "id": "fced8967-584e-4cab-bfb6-81b3c640e961", "internalLink": "https://staging.castordoc.com/data/tables/2e27d5e4-0662-47b1-a0af-91e04774dcdd/columns/delegated_approver_id", "name": "delegated_approver_id", "score": 2.2028239, "type": "COLUMN", "dataType": "Integer", "isPii": false, "isPrimaryKey": false, "tableId": "2e27d5e4-0662-47b1-a0af-91e04774dcdd", "tableName": "opportunity" } ] }
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