How We Helped Our Leading Retail Fintech Client Modernize Their Point-of-Sale Application
Our client is a leading rent-to-own service provider based out of the US that offers leasing services for commodities like furniture, appliances, and...
At a Glance
Our client is a leading rent-to-own service provider based out of the US that offers leasing services for commodities like furniture, appliances, and electronics. They provide services through an e-commerce website and around 2000+ offline storefront locations across the country.
Challenges
Outdated data management application
The client had a legacy POS application, built over a decade ago using Java, Hibernate, and an Oracle database backend. So, they struggled to adapt evolving industry demands & resulted in challenges like
- Legacy Technology Stack: The existing POS system was outdated, hindering scalability and agility.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.
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