Queries
Ask any question with ease.
Structured’s Queries functionality is designed to transform how Revenue Operations and C-suite executives interact with data. By leveraging Harbor’s data model, Structured offers accurate and reliable insights with minimal effort for manual data consolidation or joining.
Get started!
- Just ask your question in plain English, and get immediate, accurate responses. Our platform understands your natural language queries, eliminating the need for complex query syntax.
- You can ask follow-up questions and start threads to get deeper into your data or look at different parts of it.
- Structured intelligently selects the most appropriate visual representation for your data, enhancing understanding at a glance.
- Structured is equipped to handle queries ranging from straightforward data retrievals to complex analytical asks.
Example query
Sample Queries
Collaboration and Efficiency at Its Core
Seamless Sharing
Directly share query results from Structured, fostering a culture of collaboration and shared insights among teams.
Query Management
Save and categorize queries for easy access and reuse, streamlining your data analysis process and making recurrent analysis more efficient.
Scheduled Insights
Keep your team consistently informed with scheduled queries that automatically run at set intervals, ensuring you’re always equipped with the latest data insights.
Without Structured, this type of data analysis can require extensive manual data consolidation efforts. Revops team would need to:
- Identify Relevant Data Sources: Manually sift through a tangle of data sources to find necessary information.
- Manually match schemas: Different schemas across data tables? mapping these relationships manually is necessary, but time-consuming and slow (and prone to error)
- Manually join table columns: Hairy one-off SQL queries or excel copy-paste for joining data (requires in-depth understanding of all the data sources — and sql)
- Clean and normalize data: The joined data often required additional cleaning to ensure consistency and accuracy before it can be used for analysis.
This manual approach is fraught with challenges:
Complexity of Join Conditions
Errors in specifying join conditions could lead to inaccurate results, such as missing or incorrectly associated data.
Schema Evolution
Over time, changes in data sources could make previous join logic obsolete, necessitating ongoing maintenance.
Data Quality Issues
Source data inconsistencies or errors could compromise the joined dataset’s accuracy.
How Harbor Improves Query Accuracy
The integration with Harbor revolutionizes this process by offering automated and standardized data joining:
Impact
| ✅ Strategic Decision-Making | Instant access to key data insights supports informed strategic decisions |
| ✅ More Operational Agility | Quick analysis of market conditions and operational changes helps with real-time strategy adaptation |
| ✅ Better Collaborative Analysis | Sharing query results encourages a culture of data-driven collaboration and strategic alignment |
Conclusion
Queries is a feature where users can ask complex questions in natural language and receive accurate, contextually relevant insights with minimal data wrangling effort. Structured’s ability to understand, process, and join data based on a the Harbor data model reduces the likelihood of errors and ensures that the insights provided are both reliable and actionable. This is particularly beneficial in environments where strategic decisions are made based on data-driven insights. It allows executives and analysts to trust the accuracy and comprehensiveness of the information they receive.