Secoda
Get Started
  • Getting Started with Secoda
    • Secoda as an Admin
      • Deployment options
      • Sign in options
      • Settings
      • Connect your data
        • Define Service Accounts
        • Choose which schemas to extract
      • Customize the workspace
      • Populate Questions with FAQs
      • Invite your teammates
        • Joining & Navigating between Multiple Workspaces
      • Onboard new users
        • Onboarding email templates
        • Onboarding Homepage template
        • Training session guide
      • User engagement and adoption
        • Tips & Tricks to share with new users
    • Secoda as an Editor
    • Secoda as a Viewer
      • Introduction guide
      • Requesting changes in Secoda
  • Best practices
    • Setting up your workspace
    • Integrating Secoda into existing workflows
    • Documentation best practices
    • Glossary best practices
    • Data governance
    • Data quality
    • Clean up your data
    • Tool migrations using Secoda
    • Slack <> Questions workflow
    • Defining resources workflow
    • Streamline data access: Private and public teams workflow
    • Exposing Secoda to external clients
  • Resource Management
    • Editing Properties
      • AI Description Editor
      • Bulk Editing
      • Propagation
      • Templates
    • Resource Sidesheet
    • Assigning Owners
    • Custom Properties
    • Tags
      • Custom Tags
      • PII Identifier
      • Verified Identifier
    • Import and Export Resources
    • Related Resources
  • User Management
    • Roles
    • Teams
    • Groups
  • Integrations
    • Integration Settings
    • Data Warehouses
      • BigQuery
        • BigQuery Metadata Extracted
      • Databricks
        • Databricks Metadata Extracted
      • Redshift
        • Redshift Metadata Extracted
      • Snowflake
        • Snowflake Metadata Extracted
        • Snowflake Costs
        • Snowflake Native App
      • Apache Hive
        • Apache Hive Metadata Extracted
      • Azure Synapse
        • Azure Synapse Metadata Extracted
      • MotherDuck
        • MotherDuck Metadata Extracted
      • ClickHouse
        • ClickHouse Metadata Extracted
    • Databases
      • Druid
        • Druid Metadata Extracted
      • MySQL
        • MySQL Metadata Extracted
      • Microsoft SQL Server
        • Page
        • Microsoft SQL Server Metadata Extracted
      • Oracle
        • Oracle Metadata Extracted
      • Salesforce
        • Salesforce Metadata Extracted
      • Postgres
        • Postgres Metadata Extracted
      • MongoDB
        • MongoDB Metadata Extracted
      • Azure Cosmos DB
        • Azure Cosmos DB Metadata Extracted
      • SingleStore
        • SingleStore Metadata Extracted
      • DynamoDB
        • DynamoDB Metadata Extracted
    • Data Visualization Tools
      • Amplitude
        • Amplitude Metadata Extracted
      • Looker
        • Looker Metadata Extracted
      • Looker Studio
        • Looker Studio Metadata Extracted
      • Metabase
        • Metabase Metadata Extracted
      • Mixpanel
        • Mixpanel Metadata Extracted
      • Mode
        • Mode Metadata Extracted
      • Power BI
        • Power BI Metadata Extracted
      • QuickSight
        • QuickSight Metadata Extracted
      • Retool
        • Retool Metadata Extracted
      • Redash
        • Redash Metadata Extracted
      • Sigma
        • Sigma Metadata Extracted
      • Tableau
        • Tableau Metadata Extracted
      • ThoughtSpot
        • ThoughtSpot Metadata Extracted
      • Cluvio
        • Cluvio Metadata Extracted
      • Hashboard
        • Hashboard Metadata Extracted
      • Lightdash
        • Lightdash Metadata Extracted
      • Preset
        • Preset Metadata Extracted
      • Superset
        • Superset Metadata Extracted
      • SQL Server Reporting Services
        • SQL Server Reporting Services Metadata Extracted
      • Hex
        • Hex Metadata Extracted
      • Omni
        • Omni Metadata Extracted
    • Data Pipeline Tools
      • Census
        • Census Metadata Extracted
      • Stitch
        • Stitch Metadata Extracted
      • Airflow
        • Airflow Metadata Extracted
      • Dagster
        • Dagster Metadata Extracted
      • Fivetran
        • Fivetran Metadata Extracted
      • Glue
        • Glue Metadata Extracted
      • Hightouch
        • Hightouch Metadata Extracted
      • Apache Kafka
        • Apache Kafka Metadata Extracted
      • Confluent Cloud
        • Confluent Cloud Metadata Extracted
      • Polytomic
        • Polytomic Metadata Extracted
      • Matillion
        • Matillion Metadata Extracted
      • Airbyte
        • Airbyte Extracted Metadata
      • Informatica
        • Informatica Metadata Extracted
      • Azure Data Factory
        • Azure Data Factory Metadata Extracted
    • Data Transformation Tools
      • dbt
        • dbt Cloud
          • dbt Cloud Metadata Extracted
        • dbt Core
          • dbt Core Metadata Extracted
      • Coalesce
        • Coalesce Metadata Extracted
      • Dataform
        • Dataform Metadata Extracted
    • Data Quality Tools
      • Cyera
      • Dataplex
        • Dataplex Metadata Extracted
      • Great Expectations
        • Great Expectations Metadata Extracted
      • Monte Carlo
        • Monte Carlo Metadata Extracted
      • Soda
        • Soda Metadata Extracted
    • Data Lakes
      • Google Cloud Storage
        • GCS Metadata Extracted
      • AWS S3
        • S3 Metadata Extracted
    • Query Engines
      • Trino
        • Trino Metadata Extracted
    • Custom Integrations
      • File Upload
        • CSV File Format
        • JSONL File Format
        • Maintain your Resources
      • Marketplace
        • Secoda SDK
        • Upload and Connect your Marketplace Integration
        • Publish the Integration
        • Example Integrations
      • Secoda Fields Explained
    • Security
      • Connecting via Reverse SSH Tunnel
      • Connecting via SSH Tunnel
      • Connecting via VPC Peering
      • Connecting via AWS Cross Account Role
      • Connecting via AWS PrivateLink
        • Snowflake via AWS PrivateLink
        • AWS Service via AWS PrivateLink
      • Recommendations to Improve SSH Tunnel Concurrency on SSH Bastion
    • Push Metadata to Source
  • Extensions
    • Chrome
    • Confluence
      • Confluence Metadata Extracted
      • Confluence best practices
    • Git
    • GitHub
    • Jira
      • Jira Metadata Extracted
    • Linear
    • Microsoft Teams
    • PagerDuty
    • Slack
      • Slack user guide
  • Features
    • Access Requests
    • Activity Log
    • Analytics
    • Announcements
    • Audit Log
    • Automations
      • Automations Use Cases
    • Archive
    • Bookmarks
    • Catalog
    • Collections
    • Column Profiling
    • Data Previews
    • Data Quality Score
    • Documents
      • Comments
      • Embeddings
    • Filters
    • Glossary
    • Homepage
    • Inbox
    • Lineage
      • Manual Lineage
    • Metrics
    • Monitors
      • Monitoring Use Cases
    • Notifications
    • Policies
    • Popularity
    • Publishing
    • Queries
      • Query Blocks
        • Chart Blocks
      • Extracted Queries
    • Questions
    • Search
    • Secoda AI
      • Secoda AI User Guide
      • Secoda AI Use Cases
      • Secoda MCP Server
      • Secoda AI Capabilities
      • Secoda AI Security FAQs
    • Sharing
    • Views
  • Enterprise
    • SAML
      • Okta SAML
      • OneLogin SAML
      • Microsoft Azure AD SAML
      • Google SAML
      • SCIM
      • SAML Attributes
    • Self-Hosted
      • Additional Resources
        • Additional Environment Variables
          • PowerBI OAuth Application (on-premise)
          • Google OAuth Application (on-premise)
          • Github Application (on-premise)
          • OpenAI API Key Creation (on-premise)
          • AWS Bucket with Access Keys (on-premise)
        • TLS/SSL (Docker compose)
        • Automatic Updates (Docker compose)
        • Backups (Docker compose)
        • Outbound Connections
      • Self-Hosted Changelog
    • SIEM
      • Google Chronicle
  • API
    • Authentication
    • Reference
      • Getting Started
      • Helpful Information
      • Audit Logs
      • Charts
      • Collections
      • Columns
      • Custom Properties
      • Dashboards
      • Databases
      • Documents
      • Events
      • Groups
      • Integrations
      • Lineage
      • Monitors
      • Resources
      • Schemas
      • Tables
      • Tags
      • Teams
      • Users
      • Questions
      • Queries
      • Models
    • Examples
  • FAQ
  • Policies
    • Terms of Use
    • Secoda AI Terms
    • Master Subscription Agreement
    • Privacy Policy
    • Security Policy
    • Accessibility Statement
    • Data Processing Agreement
    • Subprocessors
    • Service Level Agreement
    • Bug Bounty Program
  • System Status
  • Changelog
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On this page
  • Organizing Teams
  • General Team Usage
  • Creating Specific Teams
  • Automating documentation
  • Building Out FAQs
  • Integrating with Slack
  • Creating Search Views
  • Enhancing the Homepage

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  1. Best practices

Setting up your workspace

Learn about some best practices for setting up that we've seen work well

After configuring your integrations and importing metadata, it's essential to consider the layout and structure of your workspace. This guide outlines best practices for effectively organizing your workspace and features to ensure new users are well-prepared upon onboarding.

Organizing Teams

Teams are the primary way to manage your organization's resources. Learn more about the capabilities and setup process for Teams here.

General Team Usage

By default, all metadata from connected integrations is accessible via the General Team Catalog. The General Team is set to Public, but you can change it to Private or rename it in the Team Settings.

Use cases for the Public 'General' Team:

  • Serve as a common space for all workspace users to access.

  • House a dictionary of commonly used terms, metrics, and acronyms.

  • Store internal processes and best practices documentation.

  • Include onboarding documents for new users to navigate the workspace.

Creating Specific Teams

  1. Identify Your Users: Start by identifying both your current and potential future users. Determine their roles and consider grouping them to streamline access management. For a detailed understanding of how Roles, Teams, and Groups interact within our RBAC framework, refer to our User Management documentation.

  2. Establish Teams: Create Teams reflecting the departments or roles of your users. For example:

    • If your initial power users are part of the Data Platform team, create a "Data Platform" Team and add relevant users or Groups.

    • For future rollouts to the Business Intelligence team, prepare a "Business Intelligence" Team for upcoming onboarding.

Customizing Teams

  • Sidebar Customization: Adjust the sidebar to match the access needs of each Team. For example, less technical users might only need access to specific Collections, so you can choose to hide unnecessary sections like the Catalog, Dictionary, Documents, or Questions.

  • Assign Integrations or Resources to Teams: To limit which metadata is added to each Team, at the highest level you can add whole integrations to Teams in the settings. Utilize these tricks to add only necessary schemas, tables, and columns to each Team.

Automating documentation

Secoda offers several features to help automate the enrichment and documentation of your data. For more details, check out Documentation best practices.

Initial Documentation Setup

Creating robust documentation from the start is crucial. Ensure that Documents, Dictionary terms, and Catalog resource descriptions are well-documented to showcase Secoda's value immediately to new users. This initial content not only helps in accurate searches but also enhances the AI Assistant's functionality.

Prioritizing Certain Documentation

Begin by documenting the most frequently used resources, especially those relevant to the initial users you're bringing into Secoda. Use the Verified Identifier tag to signify that these resources are business-approved and provide the most reliable data.

Building Out FAQs

Leverage Secoda's Questions feature to support new users effectively. Admins should pre-populate the Questions section with FAQs, providing answers and marking correct responses. This helps guide new users and facilitates their engagement with the data team.

Integrating with Slack

Integrate Secoda with Slack to enhance internal communications. This integration allows users to query data through Slack and receive workspace notifications without leaving the platform. Learn more about setting up and using the Slack integration here.

Creating Search Views

Develop Search views to aid Search navigation for new users. These views, once saved, are accessible to all users, helping them locate needed information efficiently.

Enhancing the Homepage

Last updated 3 months ago

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The is the first interface users interact with in Secoda. Enhance user experience by pinning critical resources and writing notes in the Notepad feature. Explore how-to videos on optimizing Homepage functionality here.

Team Homepage