Areeba Case Study

areeba

A DaaS platform integrating data from many sources using JDBC and REST helped Areeba to solve the 80/20 data science dilemma.

About areeba

Areeba is a leading Lebanese financial technology company that provides smarter, faster, and innovative payment solutions for banks, merchants, and governments in the Middle East region. Areeba is committed to investing in new capabilities and technologies that deliver enhanced payment experience and more secure solutions from biometric card and mobile payment to smartPOS.

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Challenges

Very time consuming and error-prone manual data integration process
Data lies in many different sources
Huge amounts of transactional as well as operational data

Actions

Data architects built a Data as a service (DaaS) platform in Data Virtuality
Data from different sources are integrated using JDBC and REST API connectors
Data is materialized in in-memory database for high speed access

Results

Analysts and data scientists access data through DaaS platform
Data is always up-to-date and ready-to-be-used thanks to scheduled automated processes
Almost no security risks as sharing of csv files across networks has been eliminated

We wished we had known Data Virtuality from the beginning when we started with our machine learning processes. This could have saved us a lot of time and energy! Data Virtuality is now a very essential part of our daily life as a data scientist. It helps us to capture, mix and consume data from different sources very easily. Thereby we can save time and focus more on the end result. Exciting times ahead!

One of the most important learnings that we got out of this journey is how important data integration is for the machine learning process. And this refers to all parties involved: data architecture/analyst team as well as the data science team. Data Virtuality helped us to reduce the grunt work and eliminate idle time.