Development of a Futureproof Data Architecture for Scalable Data Management and Governance

The client faces challenges managing increasing data volumes from multiple departments, leading to gaps in data quality, inconsistencies, and limited agility in decision-making. Current data architecture cannot support scalable, secure, and compliant data workflows necessary for expanding financial services and analytics.

A mid-sized online banking or neobank platform experiencing rapid data growth, seeking to enhance data management, security, and strategic decision-making capabilities.

• Establish a scalable and reliable data architecture capable of handling increased data volumes from diverse sources.
• Implement a comprehensive data governance framework to ensure data quality, security, and compliance.
• Enhance reporting accuracy and visualization through optimized data workflows and standardization.
• Reduce operational risks related to data inconsistencies, errors, and security breaches.
• Improve organizational agility to adapt swiftly to evolving business needs and industry regulations.

• Audit and document existing data environment, including architecture, pipelines, and dependencies.
• Identify gaps, redundancies, and capacity limitations to inform scalable architecture design.
• Map business processes to relevant datasets, categorizing data by operational domains for easier access.
• Automate data change management through version control and CI/CD pipelines.
• Optimize data storage by eliminating duplicates and redundant data, reducing costs.
• Adjust dashboards and visualization tools to ensure reporting accuracy and user relevance.
• Establish a data governance framework with defined roles, responsibilities, and access controls.
• Implement role-based access, encryption, and security protocols to protect sensitive customer data.
• Define KPIs to monitor data quality, compliance, and security metrics continuously.
• Conduct ongoing training and awareness programs centered on data governance best practices.

• Payment processing systems to ingest transactional data.
• Marketing and customer engagement platforms.
• Third-party systems providing external data sources for analytics.
• Security and compliance tools for monitoring data access and compliance status.

• System scalability to support data volumes increasing proportionally with business growth.
• High performance for real-time or near real-time data processing and reporting.
• Data security, ensuring encryption both at rest and in transit, with strict access controls.
• Data accuracy and completeness through continuous KPI monitoring.
• Resilience and availability to ensure minimal downtime and uninterrupted data access.

The project aims to create a scalable, secure, and compliant data environment that enables smarter decision-making, reduces operational fraud losses by over 50%, improves targeted marketing effectiveness through data-driven insights, and enhances reporting accuracy, thereby supporting the company’s expansion and strategic initiatives.