Reporting & AnalyticsPurpose
1.2. Automatedly collect, normalize, and process wagering and payout data from various channels; generate data-driven automated analytics reports, predictive monitoring, regulatory compliance summaries, and visualizations for daily, weekly, and monthly review.
1.3. Automate workflows for cross-platform data aggregation, real-time alerting, and scheduling of actionable reports customizable by role or location, ensuring full audit trails for compliance.
Trigger Conditions
2.2. Data change automation: new bet or payout recorded in POS or backend system.
2.3. Exception threshold automation: automate triggers when a payout ratio exceeds configured norms.
2.4. Manual initiation automation: on-demand analytics generation by authorized users.
Platform Variants
- Feature/Setting: Dataflow automation, real-time dashboards. Configure scheduled data refresh API endpoints and streaming analytics workspaces.
3.2. Google BigQuery
- Feature/Setting: Scheduled queries, automate SQL for stake/payout calculations with Cloud Functions or Scheduler triggers.
3.3. Amazon QuickSight
- Feature/Setting: Automated dashboards with SPICE; configure Scheduled Refresh for data sets from betting databases.
3.4. Tableau
- Feature/Setting: Tableau Prep Conductor for automated stake/payout ETL workflows; schedule with Tableau Server REST API.
3.5. Databricks
- Feature/Setting: Automate job scheduling for payout ratio computations in notebooks using Jobs API.
3.6. Snowflake
- Feature/Setting: Automated Tasks for running payout/stake analytics SQL, with external notification via Snowpipe integration.
3.7. Zapier
- Feature/Setting: Automate data syncs and alerts from spreadsheets to business chat when threshold payout ratios trigger.
3.8. Integromat (now Make)
- Feature/Setting: Automated multi-system data pulling, normalization, and Google Sheets/Slack alerting of abnormal ratios.
3.9. Salesforce
- Feature/Setting: Automate custom Apex triggers for data ingestion; report automation in Analytics Cloud dashboards.
3.10. SAP Analytics Cloud
- Feature/Setting: Automated data acquisition; configure Smart Predict for payout trends, auto-refresh reports.
3.11. Oracle Analytics Cloud
- Feature/Setting: Automated scheduled data loading from core betting systems; create pipeline actions for report delivery.
3.12. Qlik Sense
- Feature/Setting: Automated reload tasks for payout/ratio sheets; automation via QRS APIs.
3.13. Splunk
- Feature/Setting: Data ingestion automation; schedule payout pattern analytic searches with saved search automator.
3.14. Sisense
- Feature/Setting: Automated ELT jobs and analytic widget access via REST API for custom payout metrics.
3.15. Looker
- Feature/Setting: Automated Looks schedule for daily payout ratio monitoring; use Looker API for alert automator.
3.16. Smartsheet
- Feature/Setting: Data automation from POS or Excel feeds; formula sheets for stake/payout ratios with cell-based alerts.
3.17. MongoDB Atlas
- Feature/Setting: Automated Atlas Triggers to process payout ratio calculation upon data insert/update.
3.18. Monday.com
- Feature/Setting: Automation recipes to update dashboards or notify stakeholders if ratios breach limits.
3.19. Slack
- Feature/Setting: Automate notification bots; slash commands to pull payout analytics on-demand.
3.20. Trello
- Feature/Setting: Automation rules to move cards or tag responsible users when analytic thresholds are met/breached.
3.21. Jira
- Feature/Setting: Automated issue creation for compliance investigation if ratios breach preset limits; API endpoint configuration for analytics logs.
Benefits
4.2. Automated reporting ensures regulatory compliance and auditability.
4.3. Automator-driven real-time insights foster better management decisions and rapid response.
4.4. Fully automatable integration with multiple sources increases accuracy and timeliness.
4.5. Automated analytics and alerting reduce human error, increase efficiency, and improve profitability tracking.