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Real-time dashboard for key performance indicators

Purpose

1.1. Enable management to monitor real-time financial health, sales, costs, inventory, and operational KPIs across all business functions.
1.2. Provide instant visibility into revenue, expense breakdowns, vendor payments, customer trends, and profit margins.
1.3. Integrate data from POS, inventory, payroll, and accounting to display unified performance metrics.
1.4. Allow for proactive decisions based on up-to-the-minute analytics and graphical summaries.

Trigger Conditions

2.1. New sales transaction recorded in the POS system.
2.2. Inventory updated (reorder, depletion, or waste event).
2.3. New expense or payment entry in the accounting platform.
2.4. Payroll processed, or labor hours updated.
2.5. Daily/weekly/monthly scheduled updates for trend reporting.

Platform Variants


3.1. Google Data Studio
• Feature/Setting: Connect via Google Sheets API or BigQuery for real-time dashboards using Data Connector configurations.

3.2. Power BI
• Feature/Setting: Integrate SQL Server, Excel, and API streaming data via DirectQuery setup.

3.3. Tableau
• Feature/Setting: Live connections to MySQL, PostgreSQL, and REST API connectors for dynamic KPI visualization.

3.4. Klipfolio
• Feature/Setting: REST/SQL API data feeds and automated data refresh settings.

3.5. Looker
• Feature/Setting: LookML models for unified metric definitions, and scheduled API imports.

3.6. Qlik Sense
• Feature/Setting: Data Load Editor and REST Connectors for auto-refreshing seafood KPI dashboards.

3.7. Domo
• Feature/Setting: Workbench and Connector APIs for ingesting POS, payroll, and accounting data streams.

3.8. Mode Analytics
• Feature/Setting: SQL query runners and Python/REST APIs for integrating transactions and labor data.

3.9. Metabase
• Feature/Setting: Live DB connection and pulse updates with scheduled or trigger-based API call ingestion.

3.10. Redash
• Feature/Setting: Query visualizations with live database connections and scheduled refreshes.

3.11. Zoho Analytics
• Feature/Setting: Zoho Creator data push and automated refresh with API setup for POS/accounting feeds.

3.12. Sisense
• Feature/Setting: Elasticube and REST connectors with scheduled ingestion for financial and operational KPIs.

3.13. SAP Analytics Cloud
• Feature/Setting: Live data connections to SAP ERP, POS, and accounting through OData/API endpoints.

3.14. IBM Cognos
• Feature/Setting: Data server connection to operational databases and dynamic dashboards with auto-refresh.

3.15. GoodData
• Feature/Setting: Automated ETL with REST API feeds and custom dashboard views.

3.16. Chartio
• Feature/Setting: Data pipeline via direct DB query and webhook/API integration for real-time dashboards.

3.17. Databox
• Feature/Setting: Prebuilt integration with POS/accounting and push API for automated metric updates.

3.18. Salesforce Tableau CRM
• Feature/Setting: Direct sync from POS/accounting with Salesforce connector and triggers.

3.19. Airtable
• Feature/Setting: API-synced views and data automations pushing real-time figures to dashboards.

3.20. ClicData
• Feature/Setting: Data loaders and connector APIs to pull transactional and cost data with refresh rules.

Benefits

4.1. Accelerate detection of sales spikes, expense overruns, or supply chain issues.
4.2. Sharpen forecasting and cost control with live operational data.
4.3. Reduce manual reporting errors and eliminate data lags.
4.4. Increase decision speed and business agility for seafood restaurant leadership.
4.5. Enhance investor, board, and compliance transparency through shareable, up-to-date analytics.

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