How we streamlined financial data management and enhanced 40% operational efficiency for Credit Genie

Challenges: Hindrances in optimizing data infrastructure and application performance

Our client faced critical challenges in optimizing its data infrastructure and application performance, which were impacting the overall user experience and operational efficiency. Key challenges included,

• Inefficient Data Infrastructure: The company’s data architecture couldn’t handle complex queries or integrate data from multiple sources effectively.
• Poor API Performance: API delays affected responsiveness, leading to slower transactions and user frustrations.
• Data Security and Quality Issues: Ensuring the quality and security of sensitive financial data was becoming increasingly difficult.
• Need for AI Capabilities: Our client required AI-driven insights to gain deeper business intelligence, including understanding customer spending behaviours and identifying new revenue opportunities.

Solution: Transforming data infrastructure and insights with AI-driven innovation

zeb provided a comprehensive solution to address the client’s challenges, focusing on modernizing their data infrastructure, improving real-time processing, and leveraging AI to gain business insights. The key components of the solution included,

• Data Infrastructure Optimization: Our experts recommended migrating to a hybrid data model using Aurora PostgreSQL alongside DynamoDB and RDS/Aurora for optimized database management. They also introduced a centralized data warehouse with a medallion architecture (raw, refined, and enriched data layers), using native AWS services.
• Real-time Data Processing: We integrated AWS OpenSearch with DynamoDB to enable faster real-time data retrieval and dramatically reduce API  delays.
• Data Quality and Governance: By leveraging AWS Glue Notebooks, we implemented robust data quality processes, while AWS KMS (Key Management Service) and CloudTrail ensured that sensitive data was well-protected and compliant.
• Application Architecture: Our team helped the client transition to a microservices architecture, which provided greater flexibility, scalability, and performance. The integration of an API gateway streamlined API calls and enhanced security.
• AI-Powered Insights (Proof of Concept): We developed an AI-powered Proof of Concept (POC) using Amazon Bedrock and Amazon S3 to explore potential AI-driven business insights for the client. This POC focused on:
  • AI-driven analysis of aggregated transaction data to uncover meaningful patterns and trends.
  • Identification of customer spending patterns and behaviours to provide deeper insights into user financial activities.
  • Generation of actionable business insights that can guide new product development initiatives.
  • Recommendations for potential new financial services based on customer trends and market opportunities.

Architecture diagram: Native AWS

Benefits: Driving efficiency, security, and AI-enhanced insights for scalable growth

zeb’s comprehensive data and application architecture solutions, combined with the AI-driven POC, delivered significant benefits to Credit Genie.

• Enhanced Data Accuracy: By centralizing and refining data assets, our client gained more accurate insights into customer behaviours, improving risk assessments and segmentation strategies.
• Faster API Response Times: Real-time data processing improvements led to a faster, more responsive user experience, with a significant reduction in API response times, enhancing customer satisfaction.
• Increased Operational Efficiency: The transition to microservices and automation of data pipelines resulted in streamlined operations, cutting down manual efforts and accelerating internal processes.
• Improved Security and Compliance: With AWS KMS and CloudTrail integration, sensitive financial data was better secured, ensuring compliance with industry regulations.
• Scalable Infrastructure: The new serverless, cloud-native architecture provided a cost-effective and scalable solution, allowing the client to meet growing demand without escalating infrastructure costs.
• AI-Powered Business Insights: The AI-powered POC enabled them to better understand customer spending habits and uncover opportunities for new products, significantly enhancing their ability to make data-driven strategic decisions.

Partner with zeb to transform your FinTech operations

Credit Genie transformed its data infrastructure and application architecture, addressing critical challenges in data processing, security, and scalability. Through AI-driven insights from the POC, Credit Genie now has the tools to better understand its customers and identify new growth opportunities. This positions them for long-term success in the competitive fintech market.

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