Case Studies

BlueSoft helped GATX modernize its integration landscape with MuleSoft CloudHub 2.0, accelerating API delivery, reducing complexity, and enabling scalable, future-ready connectivity across the entire organization.

Canal+, a leader in the premium television segment, faced challenges with revenue protection and fraud detection due to the complexity of data and the inadequacy of existing systems. In partnership with BlueSoft, Canal+ embarked on an ambitious project to implement a comprehensive Revenue Assurance solution using Power BI, aiming to enhance revenue protection, improve data accuracy, and automate processes.

BlueSoft engineers took up the challenge of global data migration for two international companies recognizable in the Life Science sector. The project was complex because these two companies processed and stored their data differently, using different tools and approaches to customers, sales models, services, and regionalization. Those challenges called for a modern and sophisticated set of reliable tools capable of providing secure and efficient data processing, delivering a wide range of external system connectors, and allowing secure and reliable data manipulation and cleansing with a high level of scalability. This is why Talend suite supported by AWS RDS services has been chosen as the core ETL tool set for this challenge.

GATX Rail Europe is a leading, full-service railcar lessor offering a high-quality and diversified fleet to over 20 European countries. With an experienced, service-oriented team, the company is focused on making railcar leasing and rail transport simple, efficient, and seamless. We were approached to design, implement and launch an integration solution to deliver telematic data to consumers.

BlueSoft helped to build the AI-ready solution running in the AWS cloud with automation of the process of feeding the inventory of network equipment from source systems.

In 2022, Raiffeisen Bank Albania undertook an IT Transformation initiative to adopt a new Operating Model that incorporated key concepts of Platform Engineering, DevOps, and Team Topologies. As part of this transformation, a Data Platform was introduced to facilitate real-time transactions data processing for marketing campaigns. The implementation of this solution was a collaborative effort between BlueSoft and RBAL Engineers, utilizing the powerful capabilities of AWS Cloud Services.

RBI’s vision is to boost internal openness via APIs to enable superior customer experience, re-usability and innovation. Bluesoft together with RBI set the API governance practices, technical standards, and built API Management platform based on KONG API Gateway. BlueSoft designed APIs for key banking industry domains implemented by the Raiffeisen Bank International Group subsidiaries.

Banks have been obliged to provide a standardized API in order to enable third parties (TPP) to order payments (PIS) and check information about accounts (AIS) and available funds (CAF).

Nowadays many banks worldwide introduce new solutions for the sake of customer experience. Digital transformation of the banking sector is prevalent and resulted from the extremely demanding pace of keeping up with the most sophisticated applications tailored to specific business needs. Lending solutions do take a great part in this race and up-to-date applications enable customers to go through a lending process and get the desired amount of money just in a few minutes. To drive my point home let’s see how it has been done in Croatia in more detail.

Pursuant to the Payment Service Directive 2 (PSD2), banks have to provide a standardized API to enable third parties (TPP) to verify account information (AIS), available funds (CAF), and payment orders (PIS).To address the above assumptions, a solution has been implemented at ING Bank Śląski using the API Management product from BlueSoft, Agama API.

A heavily siloed analytical ecosystem caused issues in data integrity, consistency, and trust. 

The project’s goal was verifying the capabilities of Google Anthos for centralized management of Kubernetes clusters; application services ran in containers using the Kubernetes platform in a multi-cloud environment.