Data & Innovation | Financial Services | AWS
Naranja X
Development of a unique customer view that offers customers better service and new products, in a personalized way.
Context
Naranja X is a digital financial services company based on cutting-edge technology, which seeks to give opportunities to people who are left out of the traditional financial system, with the objective of having a good relationship with money.
Customers and/or people with commercial activity can access accounts in argentine pesos, credit and debit cards, loans, transfers and more than 5,000 services. In order to make money management easier for individuals and businesses, it also has 170 branches throughout the country.
With the firm purpose of continuing to provide its customers with an agile, more efficient and personalized experience, Naranja X identified the need to implement a solution that would allow them to visualize each customer and their banking products.
Nubiral comes to Naranja X as an AWS strategic ally, due to its knowledge and experience developed in everything related to the world of data and digitization of information. This is how this Master Data Management project, also called Single Customer View, came to life.
Contact us for more information.

Needs
The main challenge faced by the client was to unify, in a single visualization space and with single access, the data of the people who interact with the products of Naranja X.
Although Naranja X is a mature organization in terms of intelligent data management, the challenge was to strengthen and simplify analytics and visualization, speeding decision making and generating a common point of reference of the clients’ information.
Solution
The extensive experience in the financial industry, which comes not only from the technical knowledge itself, but also from its specialization in Data, led Nubiral to take on this challenge, as a strategic ally of Amazon Web Services (AWS).
Nubiral developed and implemented a solution based on Master Data Management, also called Single Customer View, which allows the unification of data records, offering a unified view of the customer and providing the possibility of developing a better user experience.
This project involved the migration of information to a Data Lake, a fundamental action to offer the necessary flexibility to store the different types of data and execute all kinds of analytical processes, from report generation to predictive analysis.
Data Lakes are fundamental because they provide the possibility of ‘connecting the dots’ to develop a culture of knowledge and transform data into ideas.
Throughout the project, Nubiral maintained a constant and direct communication with the client. The team was composed of two Data Engineers, a Big Data Engineer and a Senior Data Manager.

More than 100 clients in multiple industries: Automotive, Energy, Telecommunications, Media, Oil & Gas, Retail, Healthcare, Transportation and Logistics, Manufacturing, Financial Services, Education, among others.
Implementation
The whole implementation was an engineering process that consisted of 6 different sprints of agile work:

Survey of data origin.

Mapping of the data input formats.

Identification of the necessary transformations to be performed with the data, in order to achieve the unique ID of each client.

Data ingestion to a Data Lake, through technologies such as Apache Airflow, which, although not specific to AWS, can run on its ecosystem.

Transformations and data dump into an AWS Data Lake, implemented in Amazon S3 (Simple Storage Service).

After this data processing, the information was ready to be consumed directly by different Naranja X systems and applications.
There were some technical obstacles that had to do with the connectivity of one of the systems with Apache Airflow.
Also, Snowflake had to be integrated into the solution and Nubiral took the ownership to meet Naranja X's requirements. AWS appreciated the
performance and commitment to the Nubiral team in this challenge.
Benefits
The project requirements were met in a timely manner, achieving:
Assistance to Naranja X in setting up a single customer view pipeline, with up to 5 initial data sources in a solution on AWS, in a non-production environment.
Implementation alongside Naranja X artifacts for up to nine (9) workflow types from Nifi (open source ETL tool) to Amazon MWAA (Amazon Managed Workflows for Apache Airflow) for the solution.
Support Naranja X in the design of architecture, operational components and processes for the solution.
Advise Naranja X on the use of AWS CloudFormation to deploy and provision services, according to general AWS best practices.
Master Data Management allows us to view a customer as a whole, keeping track of all their Naranja X products. This was, for Naranja X, their main goal. And it was achieved.
This personalized experience with each customer, having today this unified data grid by customer, will allow Naranja X to build Machine Learning models to provide a better user experience to its customers.
In this project, although the main areas involved were Data Analytics and Data Delivery, all areas of Naranja X were nourished by the unified information. The entire organization is now just one query away from the single view of information related to the different products contracted by each customer.
As a result, all areas can have a greater analytical capacity to operate better.
The alliance continues
Nubiral's great performance was very important for the success of the project and Naranja X was very satisfied. This opened the door for a strategic alliance between the two organizations to continue.
Thus arose the recently initiated Data Warehouse Reengineering and Migration project between Nubiral and Naranja X, which is based on the migration of Naranja X's Data Warehouse (physical servers) to the cloud. This involves updating systems that have become obsolete, rethinking processes and migrating everything to the cloud. All the data should be centrally hosted in the Data Lake. This is beneficial from a business and technological point of view.
Casos de Éxito Data & Innovation
Automatización y mejora de procesos con Microsoft Azure para el área de BI
Automatización para el autoaprovisionamiento, integración de servicios, monitoreo y remediación.
Casos de Éxito Hybrid Multi-Cloud
Mejora de procesos y reducción de riesgos con Disaster Recovery Planning
Automatización para el autoaprovisionamiento, integración de servicios, monitoreo y remediación.
Casos de Éxito DevOps & APP Evolution
Plataforma fintech segura con EC2, Redis Flavor y Aurora Postgres
Empresa Fintech logra una plataforma que cumple los requerimientos necesarios en términos de seguridad, alta disponibilidad y tolerancia a fallas.
Casos de Éxito Monitoring & Intelligence
Automatización para el autoaprovisionamiento, integración de servicios, monitoreo y remediación
Automatización para el autoaprovisionamiento, integración de servicios, monitoreo y remediación.