It was budget season in Las Vegas, and the CFO of one of the Strip’s most prestigious casino resorts wasn’t sleeping well.
The property was booming—events were back, occupancy was high, loyalty reactivations were strong. Yet under the surface, their Snowflake data warehouse costs were spiraling. Every month, invoices climbed, storage ballooned, and performance lagged just when teams needed speed the most. Despite good topline numbers, the finance and IT teams were losing sleep over something they couldn’t quite see—but definitely felt: data bloat, rising cost, and sluggish insight delivery.
That’s when Bespin stepped in.
Bespin’s architects worked with the casino’s data engineering and finance leaders to run a comparative benchmark: workload by workload, dollar by dollar. The results were eye-opening:
Over 30% of compute spend was going toward jobs that could run more efficiently elsewhere.
Massive volumes of idle, infrequently accessed data were being priced like premium assets.
Data pipelines took hours to run—blocking real-time personalization, operational alerts, and marketing triggers.
The recommendation was clear: replatform to Big Query.
But this wasn’t just a lift-and-shift. It was a Snowflake-to-Big Query Migration Take-out—a strategic, white-glove engagement designed to modernize the entire data ecosystem with a focus on agility, cost control, and AI/ML readiness.
Within weeks, Bespin's team had cataloged and classified over 400 data tables, mapping dependencies, cleaning redundancies, and re-architecting for Big Query’s serverless model. Dashboards were reconnected, Looker models were reoptimized, and AI use cases—like churn prediction and VIP behavior modeling—were activated using Vertex AI.
The impact was immediate:
The monthly cloud bill dropped by 47%.
Daily revenue dashboards now loaded in seconds, not minutes.
The marketing team was able to run segmentation models on demand, instead of waiting for overnight batch jobs.
The analytics team stopped firefighting and started innovating.
But the biggest win?
Visibility.
For the first time, the executive team could clearly see what was happening across every line of business—gaming, hospitality, loyalty, F&B—through a single, consolidated lens.
Today, the same CFO starts each morning not with stress, but with certainty.
The property’s data is clean. Its platform is scalable. Its AI tools are embedded, not bolted on. And its teams—from revenue ops to guest experience—have moved from reactive to predictive.
Even better? As new data use cases emerge—like hyper-personalized concierge experiences or smart staffing forecasts—the property is ready to deploy them immediately, without waiting on infrastructure.
This Las Vegas resort didn’t just migrate a warehouse. They upgraded their operating model.
They moved from cost creep to cost clarity. From data silos to AI agility. From waiting for answers… to owning them in real time.
With Bespin and Big Query, they didn’t just win the data game.
They changed the house edge.
Premium leisure businesses—resorts, casinos, cruise lines, and exclusive clubs—depend on rapid, data-driven decisions to deliver white-glove experiences and maximize revenue per guest. Yet, as guest data volumes explode and digital expectations rise, many organizations are stuck with overbuilt, overpriced, or underutilized platforms like Snowflake.
The result?
Mounting storage and compute costs
Delayed insights due to cross-system sprawl
Fractured analytics workflows
Strained IT budgets with no proportional increase in business agility
For data teams serving luxury-focused operations, the burden of capacity planning, performance tuning, and cost predictability becomes a bottleneck to delivering next-gen guest experiences.
The premium leisure economy is shifting from rearview analytics to predictive, real-time decisioning. Migrating from Snowflake to Google Big Query empowers data leaders to:
Eliminate overprovisioning: No more paying for idle compute or guesswork-driven scaling
Accelerate time-to-insight: Native AI/ML tools drive faster forecasting, segmentation, and personalization
Consolidate data platforms: Enable a single, streamlined ecosystem with better governance and security
Unlock AI-powered innovation: Enable smarter recommendations, demand forecasting, and operational planning
The move isn’t just technical—it’s strategic. It liberates your data and your budget.
Bespin’s Snowflake-to-Big Query Migration Take-out is a white-glove service designed to strategically replatform your data warehouse with minimal disruption and immediate benefit.
This DWaaS migration approach includes:
Data schema mapping and transformation
Secure migration of historical and real-time datasets
Rebuilding of key dashboards, pipelines, and models
Optimization for Big Query’s serverless, AI-native architecture
Post-migration tuning, cost management setup, and training
Our solution is tailored for companies in the Premium Leisure and Recreational Experiences sector—ensuring your analytics and guest intelligence stack evolves with your brand.
Fully-managed migration playbook
From inventory analysis to final cutover, our experts handle every phase with performance and compliance in mind.
Performance and cost benchmarking
Side-by-side cost comparison of Snowflake vs. Big Query workloads to validate ROI pre-migration.
Native AI/ML model readiness
Transform your warehouse into a launchpad for tools like Vertex AI for predictive guest modeling, churn forecasting, and offer optimization.
Semantic layer modernization
Rebuild Looker or BI integrations to ensure your teams gain faster access to the right insights—no SQL rewriting nightmares.
Operational observability
Set up usage, cost, and performance dashboards to ensure post-migration transparency and proactive tuning.
30–60% savings on annual DWaaS spend with Big Query’s usage-based pricing
50% reduction in time spent on infrastructure capacity management
+25% improvement in analytics team productivity due to unified tooling and automation
Enablement of ML-powered revenue forecasting, staffing optimization, and guest segmentation
Improved agility for launching new experiences, promotions, and VIP strategies using real-time data
Schedule a strategic cloud data assessment: We’ll analyze your current Snowflake workloads and identify ideal migration paths
Receive a tailored ROI model: Get a financial breakdown of estimated savings, performance boosts, and opportunity gains
Run a 30-day pilot on one use case (e.g., Net Revenue Prediction Model or Guest Value Segmentation) in Big Query
Execute full migration with Bespin's white-glove support, including validation, training, and integration
Post-migration, activate AI use cases like churn prediction or real-time concierge insights using Vertex AI