Gaming & Hospitality Analytics Consulting
Gaming and hospitality data analytics consulting for casinos and resorts. Real-time floor analytics, player loyalty data, and compliance pipelines.
Topics
- gaming analytics consulting
- casino data analytics
- floor analytics
- player loyalty analytics
- gaming compliance reporting
- hospitality BI consulting
- Snowflake casino analytics
Work delivered in this industry
Jamul Casino
Replaced a slow 4GB Access database with real-time Snowflake in three months, unlocking $1.4M in new slot revenue.
$1.4M Incremental slot revenue in 6 months.
Southwest Hotel Group
We implemented dynamic pricing AI on 12 properties, using real-time rate adjustments to drive $3.8M in additional revenue within the first year.
$3.8M Incremental revenue in first year.
Desert Diamond Casinos
We merged five property management systems into a single platform, cutting technology costs by $1.9 million a year and delivering the first-ever cross-property player analytics.
$1.9M Annual technology cost saved.
Live Nation Regional Division
Built a data governance framework for ticketing and fan records at 8 venues, stopping $940K in yearly revenue loss caused by duplicate entries.
$940K Annual revenue leakage resolved.
Gulf Coast Cruise Line
Deployed revenue analytics on 8 vessels to uncover $2.1M in upsell opportunities and cut inventory waste by $380K annually.
$2.1M Annual upsell opportunity identified.
What clients in this industry usually arrive with
- Reporting can't be trusted, described as sales and finance numbers don't match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
- Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
- Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
- Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
- AI projects aren't delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
- AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.
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