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Data Platform Modernization and Governance for NeoBank Expansion
  1. case
  2. Data Platform Modernization and Governance for NeoBank Expansion

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Data Platform Modernization and Governance for NeoBank Expansion

yalantis
Financial services
eCommerce

Data Management and Scalability Challenges

Oxygen is experiencing significant challenges managing rapidly growing data volumes from diverse sources (17+ external systems) due to a legacy data architecture. This lack of data governance, quality control, and a scalable infrastructure hinders decision-making, reporting accuracy, risk management, and business agility, preventing efficient data workflows and adaptation to changing business needs.

About the Client

Leading US mobile banking provider offering innovative financial solutions to freelancers, solopreneurs, and modern small to midsize businesses, expanding into embedded finance with non-insurance health benefits.

Project Objectives

  • Establish a futureproof data strategy to support continued business growth and expansion.
  • Create a scalable and dependable data platform for data-driven decision-making.
  • Implement a robust data governance framework to ensure data quality, security, and compliance.
  • Improve reporting accuracy and streamline data workflows for business users.
  • Minimize operational losses from fraud and mitigate compliance risks.

Functional Requirements

  • Data Lake Implementation: Centralized repository for structured and unstructured data.
  • Data Governance & Cataloging: Define data ownership, policies, and lineage.
  • Data Quality Monitoring: Automated checks for data accuracy, completeness, and consistency.
  • Data Pipeline Automation: CI/CD pipelines for data transformations and updates.
  • Business Intelligence & Reporting: Optimized dashboards and reports in QuickSight.

Preferred Technologies

Amazon Redshift (migration/enhancement)
Amazon QuickSight
GitLab (for CI/CD)
Cloud-based data warehousing solutions

Required Integrations

  • Payment tools (various)
  • Marketing software (various)
  • CRM systems
  • Other internal and external data sources

Non-Functional Requirements

  • Scalability: Ability to handle increasing data volumes and user concurrency.
  • Performance: Fast data processing and query response times.
  • Security: Role-based access control, data encryption, and compliance with relevant regulations.
  • Reliability: High availability and disaster recovery capabilities.

Expected Business Impact

Successful implementation will enable Oxygen to improve decision-making, reduce operational losses, enhance data quality, and accelerate time-to-market for new products and services. This will contribute to increased user engagement, reduced fraud, and improved compliance, ultimately supporting Oxygen's strategic growth and expansion into embedded finance. The enhanced data capabilities will also allow for more targeted marketing campaigns and proactive customer engagement, further driving user base growth.

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