Automated visitor analytics dashboards

Purpose

1.1. Deliver real-time, actionable visitor analytics for acrobatic diving pool facilities to enhance resource optimization, safety, marketing, and operational insights.
1.2. Aggregate, process, and visualize visitor footfall, dwell time, engagement zones, and demographic metrics.
1.3. Allow staff to track busy times, measure the impact of promotions, optimize staffing, and report to stakeholders seamlessly.
1.4. Automate daily, weekly, and monthly dashboard generation for trend reporting and compliance.

Trigger Conditions

2.1. New visitor check-in event via digital kiosk or gate sensor.
2.2. Entry/exit data received from RFID turnstile or QR code scanner.
2.3. Hourly batch import from IoT visitor counting device.
2.4. Receipt of daily attendance CSV from POS integration.
2.5. Staff change log event triggered (e.g., group booking arrival).

Platform Variants

3.1. Google Analytics
• Feature/Setting: Measurement Protocol API; configure endpoint for real-time visitor events from physical entry devices.

3.2. Microsoft Power BI
• Feature/Setting: REST API for dataset push; automate daily data upserts and dashboard refresh.

3.3. Tableau
• Feature/Setting: Tableau Data Extract API; send processed visitor logs for interactive visualization.

3.4. AWS QuickSight
• Feature/Setting: QuickSight Data Ingestion; configure S3 triggers to ingest raw attendance logs.

3.5. Looker
• Feature/Setting: Looker API; automate exploration updates when new data arrives.

3.6. Databox
• Feature/Setting: Data Push API; stream cleaned metrics for instant dashboard widgets.

3.7. Klipfolio
• Feature/Setting: REST/Push API endpoint; ingest JSON rows for time and zone-based analysis.

3.8. Zoho Analytics
• Feature/Setting: Zoho Data API; schedule upload from local visitor tracking CSV export.

3.9. Sisense
• Feature/Setting: Sisense Ingestion API; automate Elasticube refresh from hosted logs.

3.10. Grafana
• Feature/Setting: InfluxDB or PostgreSQL integration; direct write of timestamped counts for live panels.

3.11. Splunk
• Feature/Setting: HTTP Event Collector (HEC); configure devices to log entry/exit as JSON events.

3.12. Segment
• Feature/Setting: Track API; push custom 'AcrobaticPoolVisit' events for pipeline integration.

3.13. Mixpanel
• Feature/Setting: Events API; log session and duration per visitor for cohort analysis.

3.14. Amplitude
• Feature/Setting: HTTP API; insert 'DiverEntry', 'AudienceEntry', and event properties for segmentation.

3.15. Google BigQuery
• Feature/Setting: Streaming Insert; upload raw count and timestamp for SQL analytics.

3.16. Snowflake
• Feature/Setting: Snowpipe; automate S3 → Snowflake ingestion of daily attendance.

3.17. Redshift
• Feature/Setting: Redshift Data API; batch append session logs for dashboard queries.

3.18. Microsoft Excel Online
• Feature/Setting: Graph API; automate new row creation on visitor spreadsheet.

3.19. Grafana Cloud
• Feature/Setting: Loki or Cloud Metrics API; push log lines from access points.

3.20. Firebase Realtime Database
• Feature/Setting: REST API; host real-time headcount for access by pool staff.

3.21. AirTable
• Feature/Setting: REST API; append new visitor rows, automate views for management.

3.22. Notion
• Feature/Setting: Notion API; inject daily summary block for management reports.

3.23. Qlik Sense
• Feature/Setting: REST Data Connector; automate sync with visitor logs for dashboard tiles.

3.24. Chartio
• Feature/Setting: Chartio Data Pipeline; automate scheduled import from source database.

Benefits

4.1. 24/7 visibility into usage patterns for informed scheduling and maintenance.
4.2. Reduce manual data entry, minimizing staff overhead and error.
4.3. Detect trends in participation for marketing and outreach campaigns.
4.4. Rapid response to overcrowding for safety compliance.
4.5. Comprehensive and audit-ready historical logs for regulatory and stakeholder needs.