MODO is a product of Play Digital S.A., an independent company whose shareholders are the majority of public and private banks in Argentina. It offers three services: money transfers, money requests, and payments through QR codes. Paying with MODO is safer, more convenient, and more practical.
Modo’s expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. A new platform was needed to address limitations such as process tracing constraints, scalability issues with data processing, and implementation of new orchestration, monitoring, and reprocessing tools.
Our team of expert, high-performance, #DataNerds designed and implemented a robust, self-hosted, Modern Data Stack that could easily be deployed and was flexible enough to handle present challenges while remaining scalable in the future.
By addressing technical debt and leveraging cutting-edge tools and industry best practices in Data Engineering and DataOps, we achieved significant improvements in various critical areas. Our focus included enhancing Data Orchestration, Visualization, Monitoring, and Data Cataloging components, allowing for streamlined and efficient data operations.
The project had a profound impact by enabling faster go-live features, embedding dashboards for real-time data visualization, and ensuring 100% organization and traceability of process executions. These improvements resulted in increased operational efficiency and a more successful project outcome.
Mutt Data can help you crystallize your data strategy through the design and implementation of technical capabilities and best practices. We study your company’s business goals to understand what has to change so we can help you accomplish it through a robust technical strategy with a clear roadmap and set of milestones.
Talk to one of our sales reps at firstname.lastname@example.org or check out our website for specific solutions in FinTech, AdTech, MarTech, Telco, or more information on Modern Data Stacks and Marketing Mix Modeling.
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