KPI dashboards for operational metrics

Purpose

1.1 Centralize real-time operational metrics (sales, costs, reservations, footfall, inventory, social sentiment) for Andalusian restaurants in unified dashboards.
1.2 Enable management to track KPIs such as revenue per table, labor cost ratios, daily specials performance, average meal duration, and customer review scores.
1.3 Automate collection, calculation, and visualization of trends to support timely decision-making, reduce manual reporting labor, and improve financial oversight.
1.4 Integrate multi-source analytics (POS, bookings, inventory, reviews, social) for holistic business visibility and rapid anomaly detection.

Trigger Conditions

2.1 Scheduled: Automated execution daily, weekly, or monthly to refresh KPIs.
2.2 Event: On new sales transactions, new reservations, inventory threshold breach, or review posted.
2.3 Manual: On-demand request by management via dashboard interface.

Platform variants

3.1 Power BI
• API: Configure Power BI REST API for dataset imports; set up DirectQuery for live POS and inventory feeds.

3.2 Tableau
• Feature: Utilize Tableau Prep and Hyper API; automate refresh using Tableau Bridge with data sources.

3.3 Google Data Studio
• Setting: Link to Google Sheets/BigQuery; schedule data source refresh from POS and reservations.

3.4 Microsoft Excel Online
• API: Use Excel Online APIs to stream data into pre-built templates; enable Power Query for flows.

3.5 Zoho Analytics
• Feature: Connect to MySQL/PostgreSQL REST endpoints or upload CSV reports via Zoho Data Upload API.

3.6 Klipfolio
• Setting: HTTP Requests for real-time data fetch from POS, bookings, and reviews APIs.

3.7 Qlik Sense
• Feature: Qlik REST Connector for automated data pulls from cloud apps.

3.8 Metabase
• Feature: Configure data syncing with MySQL/Google Sheets integrations for daily auto-refresh.

3.9 Sisense
• API: REST API for custom ingestion; schedule data modeling workflows.

3.10 Domo
• Feature: Domo Workbench for automated batch data ingestion from ERP and restaurant systems.

3.11 Looker
• API: Looker API for pushing periodic operational snapshots from key systems.

3.12 Grafana
• Setting: Configure data sources via MySQL or Elasticsearch plug-ins for dynamic metric dashboards.

3.13 Cyfe
• Feature: Use Push API to inject sales, inventory, social, and review KPIs.

3.14 Databox
• Setting: Use REST API and prebuilt connectors for meal performance and labor utilization stats.

3.15 Redash
• Feature: Query builder for scheduled metric retrieval from connected restaurant databases.

3.16 Grow
• API: Use Grow’s REST integration to automate data pulls and trigger dashboard alerts.

3.17 GoodData
• Feature: Automation of dataset uploads and KPI monitoring via RESTful services.

3.18 Geckoboard
• Feature: JSON push API for streaming up-to-date KPIs on kitchen efficiency and feedback trends.

3.19 AWS QuickSight
• Setting: Configure S3/Redshift imports for periodic auto-analysis of sales and cost metrics.

3.20 SAP Analytics Cloud
• Feature: Set up Live Data Connections and scheduling for full-spectrum operational reporting.

Benefits

4.1 Eliminates manual compilation and reporting of KPIs for restaurant management.
4.2 Ensures up-to-date, accurate financial and operational visibility for quick action.
4.3 Enables anomaly detection and predictive trend analysis for cost control.
4.4 Supports multi-location chain management with consolidated and drill-down views.
4.5 Automates benchmarking of menu item popularity, reservation patterns, and staff productivity.
4.6 Drives data-driven resource allocation, marketing spend, and vendor negotiations.
4.7 Simplifies compliance, record-keeping, and investor reporting with automated, auditable dashboards.