How We Helped our Leading Retail Fintech Client Modernize their Point of Sale Application

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• Legacy technology stack: The existing POS system was outdated, hindering scalability and agility.
• Data quality concerns: Data integrity was compromised due to the legacy systems, necessitating a data model redesign.
• Massive data migration: Migrating over 10 TB of data, including 900+ tables, posed a complex process.

To address these challenges, the client sought a team of experts to migrate to a cloud-based, modular POS solution & enhance data management capabilities.

Solution: Modernizing POS system & simplifying data management process

Our team analyzed the client’s existing application and devised a strategic solution that best fits their organizational needs.

• Modern application development: We developed a modern POS application using React JS for the front end, Node JS for the backend, and AWS Aurora PostgreSQL as the database. This modern stack empowered to build a scalable application, enhancing its performance and user experience
• Data model redesign: We redesigned the transactional data to resolve business hurdles using normalization and efficient indexing, ensuring data integrity and overall system efficiency.
• Seamless data migration: To ensure a seamless migration of historical data from the legacy transactional database to the restructured PostgreSQL database, we devised a seamless migration strategy. This involved Oracle-side transformations, data storage in stage tables, and migration using AWS Data Migration Services (DMS).
• Database optimization: We streamlined the data model by reducing the number of tables from 900+ to under 500. Additionally, we designed purpose-built databases, like the Config Database, to manage business rules for application access and configuration.

Benefits: Achieving scalable data management application

• Improved scalability and agility: By migrating to a cloud-based modular POS system, the client achieved enhanced scalability and agility in their operations.
• Enhanced application performance: The new microservices-based architecture and optimized data model significantly improved application performance, providing users with a smoother and faster experience.
• Efficient data management: The streamlined data model and purpose-built databases enhanced data efficiency, ensuring that data was organized and accessible.
• Cost savings: The cloud-native approach brought about cost savings, allowing overall resource utilization.

Ready to modernize your application architecture & enhance data efficiency?

Whether you’re struggling with legacy systems or striving to enhance data integrity, we’ve got the expertise to transform your data landscape. By leveraging in-depth knowledge of modern data solutions, we’ll devise a bespoke solution that resonates with your unique business needs.

Streamline your data management, enhance data quality, and optimize costs with our cutting-edge solutions.

Connect with us to embark on a transformative journey.