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Data platform assessment for Lucky Day: setting the stage for AI data analytics

Client
Lucky Day, a California-based mobile gaming company with 40M+ downloads and millions of daily active users
Industry
Entertainment, gaming
Services
Data platform assessment, data platform consulting
Tech stack
Snowflake, Segment, AWS, Sisense (Periscope), Amplitude

Challenge

After partnering with ITRex to scale its mobile gaming app to over 40 million downloads, Lucky Day returned with a new challenge: the company’s data platform had become a bottleneck.Any system updates were painful, time-consuming, and risky, making it difficult to support product development, marketing insights, and upcoming AI use cases.

The key challenges included:
Manual effort for dashboard development & maintenance. Reports were manually managed, dashboards broke every several weeks, and fixes and updates frequently necessitated third-party vendors' intervention.
Vendor & analyst dependency. A single in-house analyst managed data operations, while up to 30% of queries required help from an external data engineering partner. Vendor response times stretched from days to weeks.
Slow & fragile reporting. Dashboards required constant monitoring. Any change could cause cascading failures, and cross-product analytics or A/B testing was nearly impossible.
Lucky Day's leadership team sought a data platform solution that could scale with the product and provide:
AI data analytics
Real-time metrics and cross-product dashboards
Automated insights enabled by AI agents
Simultaneous A/B testing at scale
Faster and more consistent reporting cycles

Solution

At Lucky Day, ITRex conducted a comprehensive data platform assessment with both technical and business stakeholders involved.Led by ITRex’s data platform consultants and business analysts, the engagement was structured using our 6-phase Waterfall methodology. The approach ensured extensive technical coverage and clearly defined deliverables.Our contributions covered the following areas:
System review. After gaining secure access to Snowflake, Segment, Amplitude, Periscope dashboards, third-party systems, and other client tools, we examined data storages, ETL pipelines, semantic layer, data analytics, and integrations.
Joint workshops & deep-dive analysis. Our data experts collaborated with Lucky Day's business analyst to "open up" the platform and identify the underlying causes of performance and reliability issues.
Full assessment report & architecture diagrams. We delivered a 40+ page report that covered every aspect of Lucky Day’s data platform—including data processing pipelines, data storage, the semantic layer, reporting, and governance—along with a visual diagram of the current system architecture, which was previously missing and lacked documentation.
Roadmap & blueprint. Based on the assessment results, the ITRex team developed a tech-agnostic roadmap that offered two strategic paths:1. Extend the existing system by integrating the missing blocks 2. Create a custom AI data platform from scratch
ITRex provided detailed implementation estimates for each option, outlined the benefits and drawbacks, and made strategic recommendations for long-term scalability.
data platform assessment
data platform assessment for mobile gaming

Impact

The assessment provided clarity, direction, and support for strategic decisions:
The client clearly understood why the current system could not support Lucky Day’s AI and analytics goals, as well as what it would take to fix it
With a system-wide diagram and issue backlog, Lucky Day gained visibility into platform missing parts, technical debt and data risks
The client is now considering a complete rebuild of the platform using the custom blueprint provided by ITRex
Our comprehensive data assessment uncovered governance and reusability issues that, once addressed, would reduce the customer’s reliance on individual vendors or analysts
The partnership also laid the groundwork for Lucky Day to implement automated insights, AI agents, and real-time data analytics, unlocking long-term value from its data.

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