The company was founded in 2019, the singular goal of Masspay was to provide global payments of the friction lens, which the innovation of energy and raising people, business and quality of life around the world. Today, the Masspay payments orchestration, which offers the company authorization to easily move money across the borders; Allowing local payment experience in more than 175 countries and 70 currencies – including digital wallets, locally preferred alternative payment methods and cryptocurrencies. From hyper-blocked cash register experience to immediate global payouts, we organize trouble-free financial experience that reflects how people and businesses do around the world.
As we have expanded all over the world, as well as the complexity of our data. In this blog post, we will look at how real time, identifying customer behavior patterns across regions and optimizing internal operations requires more than traditional business intelligence and analytical tools. And Howte Implement Amazon RedShift and Zero-Andl have noticed a 90% reduction in data of available latency, salaries available for analytics 1.5x faster, leading to a 45% reduction in time and 37% less tickets for support and payments.
Unlocking deeper payouts of news and global knowledge
To continue innovation – and continue to exceed the expectations of our partners and customers – we knew we had to exceed the basic reports. We know that success depends on the development of a data driver. This means monitoring the Granulalar KPI across the success of payments, accepting the method of payments, speed transaction, funeral for the customer and correlation of tickets. We also wanted to predict the expectations of customers’ payments, monitor trends in foreign exchange and understand the nuances specific to the market, such as how the timing of paycheck affects the seller in social trade ecosystems.
“” “”We didn’t just want more data. We wanted fast and smarter knowledge that WoW shapes real -time decisions. Being in a data -based organization means that our teams do not stop. They know. And that gives us our partners and our customers real operating and competitive benefits.»
– Yossi Schlomo, Director of Payment Systems Architecture
MySQL, export CSV and third -party reports would not support the scale or speed we needed to deliver.
Selection of AWS: Scalable and Integrated Analytical Foundation
My Amazon Web Services (AWS) for our data infrastructure and accelerate our analytical abilities.
The core of our magazine is Amazon Redshift without a server with permitted scaling and optimizing Amazon, giving us a scalable and cost -effective analysis without a barden of managing infrastructure. In conjunction with Amazon Aurora MySQL-compatible edition as our data transaction storage and Amazon Redshift Zero-ETL integration, we have completely removed manual data pipes. Transaction data flows into Amazon Redshift in almost real time, immediately supply dashboard, alerts and machine learning models (ML).
This Feds Interactive Dashboard data – both internally and built into our customers platform. Now, managers, operations and teams of customer success can be visible in real time as part of our real -time platform experience. The architecture is shown in the following figure.
Masspay Zero-and Architecture with Amazon Redshift Seriesles
Why is it different and what it unlocked
Without Amazon Redshift Serverless and Zero-ETL, we would have to invest in expensive data pipes, separate exchange, transformation and loading (ETL) and manually manage the freshness of data. Integration with Aurora MySQL-compatible is trouble-free and reduces our analytical latency from a minute to a second.
“” “”Our differentiator is simple: we run not only transactions but analysts for global payments. Most platforms can tell you whether the transaction has undergone. Masspay can tell you how quickly it happened, what it costs, what method was effective and what it was for your business.»
– Yossi Schlomo, Director of Payment Systems Architecture
Built -in intelligence, built for a scale
Every Massspay customer gets access to understanding of payments. These are accessed using our API or via a white label control panel (shown in the following figure). This detail is the core of our product and central for our design to value. As part of our market strategy, we show these skills in each demo and have shown that they are key factors of conversions and conversations in contradiction, especially with platforms focused on highly growing ecosystems.
Dashboard Masspay
What we have gained
Sale of Amazon Redshift and Zero-ETL implementation, we have a blowing results involving:
- 90% reduction of latency of data availability and data available for analysts 1.5x faster
- By a 45% reduction in time to intensive reports on payments and payment of news reports
- By 37% fewer tickets to support related to the visibility of transaction and concern about payments
- Following the pure promoter in real time correlates with metrics of payday success, driving a rapid resolution
What will be next
We have now promoted our analytical model to include more advanced payment of ML -based payouts and Payment -based payments, FX optimization, partners’ levels and benchmarking at the network level, and much more.
Conclusion
Masspay are not just payments. We are not just payouts. We are an engine supplying a modern shop. With AWS, we have transformed a complex global payment infrastructure into an intelligent, transparent and scalable platform for knowledge. For our partners and our customers, this means better decisions, faster payments, faster payouts and truly global reach without estimates.
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About the authors
Yossi shomo It serves as the director of the architecture of payment systems in Masspay. Yossi is an expert in credit card payments, compliance with PCI regulations and architecture of secure transaction and helps with confidence of global platform payments to the extent. It specializes in building scalable cloud -based transaction systems and optimize global payment gateway for performance and reliability.
Milind Oke It is Amazon Redshift and Sagemaker Lake specialist Solutions Architect as AWS. It is based in New York and builds business data platforms, data storage and analytical solutions for customers in different areas for two decades. In 5 years with AWS, Milind speaker at Worldwide Technical Conferenys and is co-author of Amazon Redshift: The Definitive Guide: Jump-Start Analytics using cloud data stores 1.