The Data Analysis Assistant in Subotiz operates within defined data boundaries and system rules, helping merchants understand performance and make decisions based on aggregated data. Understanding the data scope, default parameters, and feature limitations helps ensure accurate interpretation of results and reduces the risk of misanalysis.
Data Scope
The assistant analyzes data within a defined system scope. All results are generated based on the current store.
- Store data coverage: Supports analysis of transaction, subscription, invoice, and conversion data, such as payment success rates and order conversion performance, for overall business evaluation.
- Current store only: All queries are limited to the current Subotiz store. Cross-account or cross-store data access is not supported.
- Aggregated results only: Results are provided as summarized data and do not include individual transactions or customer-level information. This makes the data suitable for trend analysis and decision-making.
Default Parameter Rules
When a query does not include complete conditions, the system automatically applies default parameters to ensure results can be generated.
- Default time range: If no time period is specified, the system uses the last 30 days by default. This may cause results to differ from queries such as "today" or "this week."
- Default comparison logic: Comparison queries default to comparing the last 7 days with the previous 7 days, reflecting short-term trends.
- Store context applied: Analysis automatically uses the current store's timezone and settlement currency to ensure consistent results.
For critical analysis such as campaign performance or single-day results, specify the time range explicitly to avoid discrepancies.
Data Freshness
Analysis results are based on synced store data. The most recent data may have a short delay before appearing in results.
- Data delay: The latest data may not yet be fully reflected in analysis results.
- Impact on short-term queries: Queries for very recent periods such as "today" or "the last hour" are more likely to be affected by data sync delays.
- Adjust query range: Expanding the time range, for example to the last 2 to 3 days, can help validate trends when recent data appears incomplete.
When monitoring near real-time activity such as campaign traffic or promotional peaks, cross-check results with the Subotiz reporting module.
Feature Limitations
The assistant supports store data analysis only. The following requests are not supported.
- Data source limitation: Only Subotiz system data is supported. External systems, uploaded files, and third-party platform data cannot be analyzed.
- No industry benchmarks: Industry-wide or competitor data is not included.
- No forecasting: Future trend predictions or performance projections are not provided.
- Sensitive data protection: Payment card numbers, CVV codes, and customer personal information are never returned.
This feature is designed for historical data analysis and does not replace forecasting tools or external analytics platforms.
Query Limits
The system applies limits to query scope to ensure stability and performance.
- Row limit per query: Each query returns up to 1,000 rows. Broad queries may result in incomplete data.
- Time range limit: A single query can cover up to 1,000 days.
For large data sets, narrow the time range or apply filters such as country or product to improve precision.
Common Misunderstandings
The following are common questions merchants may encounter, along with their likely causes.
- "Why does today's data look inaccurate?" → The time range may not have been specified. The system defaults to the last 30 days.
- "Why do the results differ from reports?" → This may be caused by data sync delays, different time ranges, or inconsistent filters.
- "Why can't I see all the data?" → The query may have reached the 1,000-row limit. Try narrowing the scope.
- "Why can't certain data be analyzed?" → The request may be outside the supported scope, such as external data or industry benchmarks.
Validating Results
Before making business decisions based on analysis results, a basic validation is recommended.
- Confirm the time range: Ensure the selected period matches the intended analysis window.
- Review filters: Verify that applied dimensions such as country or product are correct.
- Cross-check with reports: Compare key metrics with the Subotiz reporting module.
- Refine the query: If results appear unexpected, adjust conditions and rerun the analysis.
For critical metrics such as revenue or conversion rate, avoid relying on a single query result. Validate findings from multiple perspectives.
The Data Analysis Assistant operates within defined data boundaries and system rules, with all results generated from aggregated data in the current store. Understanding these rules and limitations helps merchants interpret results accurately and make more reliable business decisions.