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Automated reporting on ticket sales and attendance

Purpose

1.1. Automate the extraction, aggregation, and visualization of ticket sales, attendance figures, revenue, and demographic data across multiple events and timeframes.
1.2. Enable automated reporting for streamlined operational, marketing, and financial analysis.
1.3. Deliver automatedly scheduled, real-time, and on-demand reports to management for data-driven decision-making.
1.4. Eliminate manual data handling and automate error-prone spreadsheet tasks for arena venue ticketing and attendee management.

Trigger Conditions

2.1. New ticket sale confirmation or booking completed.
2.2. Attendee check-in scan or validation at venue entrance.
2.3. End-of-day, week, or event closure for automated data aggregation.
2.4. On-demand report request via dashboard, app, or API call.
2.5. Scheduled automated triggers (e.g., every Sunday at 8am for weekly reporting).

Platform Variants

3.1. Salesforce
• Feature/Setting: Reports & Dashboards API — configure automated extraction of event/ticket data using scheduled API calls.
3.2. Microsoft Power BI
• Feature/Setting: Scheduled Refresh — automate data dashboards updating from ticketing databases on set intervals.
3.3. Google Data Studio
• Feature/Setting: Data Connectors — automate data pulls via Sheets integration or direct SQL for real-time sales/attendance charts.
3.4. Tableau
• Feature/Setting: Tableau Prep Conductor — automate scheduled data flows for ticket sales reporting.
3.5. Eventbrite
• Feature/Setting: Event Reports API — automate data extraction and CSV email dispatch for ticketing summaries.
3.6. Ticketmaster
• Feature/Setting: Discovery API — automate pulling ticket and attendee volumes for integration with reporting tools.
3.7. Zoho Analytics
• Feature/Setting: Data Import Scheduling — automate linking to ticketing sources for live dashboards.
3.8. Slack
• Feature/Setting: Incoming Webhooks — automate delivery of summarized ticket sales/attendance reports to channels.
3.9. Mailchimp
• Feature/Setting: Automated Campaigns — automate scheduled emailing of reports to mailing lists.
3.10. Google Sheets
• Feature/Setting: Apps Script Triggers — automate report generation on data update or by schedule.
3.11. AWS Lambda
• Feature/Setting: Scheduled Functions — automate ETL processes and report creation using ticketing system data.
3.12. Google Cloud Functions
• Feature/Setting: HTTP Triggers — automate report generation upon triggered HTTP requests or schedules.
3.13. Microsoft Teams
• Feature/Setting: Adaptive Cards Bot — automate pushing interactive report summaries to team channels.
3.14. Monday.com
• Feature/Setting: Automation Recipes — automate notification and report delivery upon ticket status change.
3.15. HubSpot
• Feature/Setting: Workflows — automate report emails based on new ticket sales activity.
3.16. Smartsheet
• Feature/Setting: Automated Workflows — automate row-based triggers for attendance data and report dispatch.
3.17. SAP Analytics Cloud
• Feature/Setting: Data Import Scheduling — automate pulling ticket/attendance data from ERP modules for visualization.
3.18. Jira
• Feature/Setting: Automation Rules — automate issue creation for ticket anomalies as part of attendance audits.
3.19. Asana
• Feature/Setting: Rules — automate reminders and reporting for completed events.
3.20. QuickSight (AWS)
• Feature/Setting: Data Set Refresh Schedules — automate ingestion of sales/attendance data for business intelligence dashboards.
3.21. Twilio SendGrid
• Feature/Setting: Email API — automate report distribution to stakeholders via secure email.
3.22. Dropbox
• Feature/Setting: Scheduled Uploads — automate report file distribution and archival.
3.23. Airtable
• Feature/Setting: Automation Triggers — automate status updates and visualizations upon ticket sale entries.

Benefits

4.1. Reduces manual labor by automating data aggregation and reporting for ticketing and attendee management.
4.2. Enables real-time and automatedly scheduled access to critical business metrics.
4.3. Improves data reliability and eliminates human error through automation of data workflows.
4.4. Facilitates faster and more informed decision-making by automating actionable insights delivery.
4.5. Supports scalability and efficiency for arena venues managing complex ticket sales operations through automation.

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