Harbor is the foundation of Structured’s data power, built specifically for the requirements of revenue operations teams. It goes beyond mere data aggregation, facilitating mapped/associated and continuously synced data for analytics and insights you can trust.

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Connect

Upload Spreadsheets

Import CSV and Excel files directly, streamlining the migration of historical data into Structured for immediate analysis and integration.

Native Integrations

Connect to major platforms like Salesforce, HubSpot, Salesloft, Outreach, and QuickBooks, designed for easy setup and seamless data flow. See 🔗 integrations for more details.

Webhook Streaming

Provides real-time data streaming via webhook, enabling Structured to receive updates instantly from external systems not covered by existing integrations.

Bidirectional Sync: You can enable updates within Structured to be mirrored back to original data sources, maintaining consistency across platforms and ensuring data accuracy.

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Manage

Automatically monitors and logs any changes made to your data sources. It saves previous versions of your data before updates are applied, creating a detailed history of how your data has evolved over time. This is crucial for tracking changes, understanding trends, and ensuring you can always access historical data when needed.

Simplifies the process of ensuring consistency across different data systems. By setting up mappings, or connections, between similar data fields in various systems, it ensures that information is synchronized. For example, customer details from your CRM system can be automatically matched and updated in your accounting software, keeping your records accurate and up-to-date across platforms.

Easily link related data points throughout your systems, by transforming a basic field into a direct link to a different table’s schema. Structured automatically connects related information to make your data more useful for deeper analysis. This means you can find important patterns and insights without having to sort and link data manually, helping you make better decisions and plan more effectively.

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View

Example table connection

  • Visualize all connected tables and their relationships in a single, intuitive interface.
  • Easily identify associations between different objects, improving understanding of data interconnections.
  • Navigate through the data model easily/interactively, allowing for deeper relationship exploration.
  • Customize the visualization to focus on specific nodes or relationships, providing flexibility in data model interpretation.

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How to use Harbor

1

Connect your tables

Choose data sources from a wide range of integrations or set up webhooks for real-time streaming.

2

Map and associate

Use Harbor’s UI to map and link data fields across connected table sources for unified structures.

  • 🔗 Connecting the Same Objects from Different Tables

The same ‘type’ of data can exist in several different tables. For example, a Customer column can exist in both your CRM and QuickBooks. With Structured, you can set a mapping between these tables representing the same information for continuous sync. This means duplications or discrepancies across point solutions are easily identified and reconciled in one place.

  • 🔄 Associating Table Columns

Harbor enables associating concepts in schemas across your entire revenue ecosystem. Link a Customer column in an Orders table directly to the Customer table connected in the Data Harbor. This association pulls insights by associating metadata from other tables easily, without messy and haphazard data joining.

3

Use the graph view

Use Harbor’s visualization suite to explore data model in a graph view. Use the zoom/filtering for deep dive into the data relationships of your organization.

4

Set up Sync

Configure settings for bidirectional sync to keep all connected platforms updated with the most correct, most up-to-date data from Structured.

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Conclusion

Harbor by Structured redefines what data integration looks like for revenue operations, offering powerful capability in connecting, versioning, and mapping. This is the bedrock of data integrity upon which workflows like queries, reports and blocks are built.

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