About Client
A FinTech company handling millions of transactions daily, needed a robust data analytics pipeline to enable scalable BI reporting and customer insights across its growing operations.
The Challenge
Existing systems could not handle high-volume data efficiently.
Disparate transactional data across systems
Slow manual report generation
Lack of unified analytics infrastructure
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The Solution
Iksula built an AI-powered analytics stack processing 26M+ transactions daily across 450+ tables. Unified warehouse architecture improved reporting and integrated LTV and cohort models for growth insights.
Automated, scalable data pipelines
Unified data warehouse for BI and ML
Predictive models for customer retention and performance tracking
Business Metric Improvement
The platform boosted business efficiency and data-driven decision-making.
40% faster report generation
15% improvement in customer retention
Always-on analytics for real-time performance tracking
