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Our client has over two decades of experience working with companies in the food & beverage, hospitality, and financial services industries. Their existing solution is an analytics platform that allows end users (their clients) to transform their business data (point-of-sale transactions) into easy-to-understand insights for decision-making.
The client’s existing solution was outdated and dependent on legacy hardware. It was hampering their operations while not allowing them to scale. Complex system maintenance also led to unjustified operational costs. Additionally, the platform was struggling to meet performance demands, with a month's worth of POS (point-of-sale) data taking over two days to process.
To address these challenges, they came to us seeking legacy system modernization and
A scalable technology stack to handle increasing data volumes efficiently
Reduced system maintenance complexities and lower operational costs
Faster processing of point-of-sale data
Cloud migration for advanced capabilities and improved overall platform reliability
After analyzing their technology infrastructure and the platform, we came across the following difficulties:
As their system was over 20 years old, there was insufficient documentation with inconsistent code structures, embedded business logic, and legacy programming languages
Legacy customizations on the platform restricted our architectural design options
Huge volume of data with outdated and inconsistent formats and duplicate entries
Given the primary challenge of obsolete technology, infrequent data processing timelines, and reliance on legacy hardware, we proposed a comprehensive reverse engineering solution. This plan included deciphering the codebase, mapping implementation and configuration, designing a cloud architecture, migrating data with ETL pipelines, and deploying the entire system on the cloud using CI/CD pipelines for uninterrupted business operations.
Data processing pipelines now run in 6 hours (instead of 2 days)
87% reduction in the data processing timelines
70% reduced physical footprint and dependence on legacy hardware
60% reduced operational costs due to automated updates
Project initiation within 48 hours
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