Bally's Unifies Data Infrastructure to Enhance Global Gaming Efficiency
By leveraging Databricks to unify its data infrastructure, Bally's Corporation has dramatically improved its operational agility and reduced time-to-market for new gaming products, meeting the rising demand for personalized player experiences.
Key Facts
- Bally's improved time-to-market by 60-70%, enhancing responsiveness to player needs and market shifts.
- Legacy systems caused fragmentation, revealing vulnerabilities in operational agility and innovation speed.
- 30-40% reduction in total cost of ownership indicates significant financial efficiency gains post-platform consolidation.
- 10x increase in model experimentation accelerates personalized offerings, strengthening competitive positioning.
- Rapid integration of Intralot showcases strategic agility, enabling faster market expansion and operational unification.
Summary
Summary
Bally's, a global gaming company, faced challenges with fragmented legacy systems that hindered product launches and data utilization. By implementing the Vitruvian platform on Databricks, Bally's unified its data foundation, resulting in a 60-70% improvement in time-to-market and a shift to a self-service operating model.
Background
Bally's operates in the gaming industry, encompassing both digital platforms and retail casinos. The company has been expanding organically and through acquisitions, which has increased the importance of data for customer engagement, regulatory compliance, and product delivery. Prior to deploying the Vitruvian platform, Bally's struggled with fragmented systems that limited their ability to leverage data effectively.
Challenge
Bally's aimed to address the fragmentation of their legacy systems, which slowed down innovation and product launches. This fragmentation created operational silos, leading to bottlenecks in decision-making and reliance on centralized engineering teams.
Solution
Bally's built the Vitruvian platform on Databricks to create a unified data, analytics, and machine learning foundation. This platform supports both digital and retail gaming operations, allowing teams to access a single data source with consistent governance. Key features included Delta Lake for data processing, Unity Catalog for access control, and Databricks AI Runtime for infrastructure management. This architecture enabled teams to operate independently while maintaining compliance and governance.
Results
Bally's achieved significant improvements following the deployment of the Vitruvian platform:
- 60-70% faster delivery of products and new market launches.
- 30-40% reduction in total cost of ownership through platform consolidation.
- 10x increase in model experimentation and delivery velocity.
- 8x faster onboarding of new source platforms.
The most notable outcome was the acceleration in product shipping, with timelines reduced from months to days.
Key Insights
Bally's experience highlights the importance of unifying data systems to enhance operational efficiency and speed. A self-service model empowers business teams to innovate independently, reducing reliance on centralized IT resources. Additionally, embedding compliance within the data platform streamlines regulatory processes.
Customer Testimonial
“Our goal is to make data a capability that every part of the business can leverage, rather than something owned exclusively by technology teams.” — Mark Borg, SVP of Data at Bally’s.
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- Vitruvian
- A data platform built by Bally's on Databricks to unify data, analytics, and machine learning for gaming operations.
- lakehouse architecture
- A modern data architecture that combines the benefits of data lakes and data warehouses, enabling scalable analytics and AI.
- self-service model
- An operational approach that allows business teams to build and manage their own solutions independently of centralized technology teams.
- real-time data ingestion
- The process of continuously collecting and processing data as it is generated, allowing for immediate analysis and action.
- regulatory compliance
- The adherence to laws, regulations, guidelines, and specifications relevant to the gaming industry.
Use Cases
- →personalized player experiences
- →fraud detection
- →responsible gaming
- →marketing and product decision making
- →regulatory compliance management
- →data-driven product development
Frequently Asked Questions
How has Bally's improved its product delivery speed?
Bally's has achieved a 60-70% faster delivery of products and capabilities by unifying its data foundation and adopting a self-service operating model. This transformation has significantly reduced bottlenecks and allowed teams to respond more quickly to market opportunities.
What role does Databricks play in Bally's operations?
Databricks serves as the foundational platform for Bally's Vitruvian system, enabling data unification, analytics, and machine learning. It supports faster decision-making and enhances operational efficiency across Bally's gaming operations.
What benefits does the self-service model provide?
The self-service model empowers business teams to build and manage their own solutions, reducing reliance on centralized engineering teams. This leads to faster innovation and allows technology teams to focus on core capabilities and governance.
How does Bally's ensure regulatory compliance?
Bally's integrates compliance as an embedded capability within its data platform, allowing for consistent governance and auditability across jurisdictions. This approach simplifies the management of regulatory requirements and accelerates market expansion.
What future plans does Bally's have regarding AI?
Bally's is focused on expanding its self-service capabilities and investing in AI and generative AI use cases to further personalize player experiences. This strategy aims to streamline operations and enhance the scalability of proven capabilities across the enterprise.