CASE STUDIES

Migrating data to new core systems for O2

Within O2’s extensive project called Simple Online Company (SOC), Profinit provided within the Big Data services a detailed plan and prepared and implemented data migrations from 10 discarded or modified applications to 7 newly running systems. The migration consisted not only of a physical movement of the data but also of sophisticated data transformations due to a different logic of the systems, product portfolio simplifications or cancellation and creation of tens of tariffs, customer packages and other additional services.

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New Business Intelligence solution for VIG Re

For VIG RE zajišťovna, a.s.—the only reinsurance company in the Czech Republic—Profinit implemented a new Business Intelligence (BI) solution – Data Warehouse (DWH) and business reporting systems. Technologically, the delivery was based on an MS SQL Server database solution using the proprietary Profinit framework for efficient DWH construction. Reporting is implemented on the SAP Business Objects platform. With the introduction of the BI solution, VIG Re has the right information at its disposal at the right time, to make sound decisions.

Increasing acceptance rate through machine learning

For the UK fintech company Amplifi Capital, the most prominent lender in the UK credit union sector, we delivered a behavioural model to optimise underwriting with a personalised offer in real-time with a minimal latency. The model predicts the probability of acceptance of each client quote based on hundreds of features incl. credit-bureau data. The number of loan offers accepted increased by 30% as a result of the individual offer for each customer.

Real-time IoT data stream processing

We have delivered real time data stream processing solution for IoT data based on Apache Kafka and Hadoop.

Key Business Intelligence partner for KB

Since 2005, Profinit has been cooperating in the field of Business Intelligence (BI) with Komerční banka (KB) (a member of the Société Générale international financial group), on a continuing basis. The projects we have implemented represent a wide portfolio of consulting services in BI & DWH solution development, but also in terms of infrastructure and operations. Key projects in recent years have been, for example, the migration and development of a management information system, and BI solutions for the bank’s risk management and distribution departments. The volume of services is on the order of several thousand MDs per year, the greater part of the work is contracted as fixed deliveries. Profinit has been a reliable long-term partner for KB in BI.

Critical system integrating data for Prague Airport

Profinit created and maintains the Central Airport Operational Database (CAODB) system for Prague Airport (more precisely for the Prague Airport Administration). CAODB integrates and publishes data from/to operational systems, such as the Resource Planning System (RMS), the Baggage-Handling System, or the Passenger Information Display System. Thanks to CAODB, key operational data is in one place, enabling, among other things, the effective implementation of the Collaborative Decision Making (CDM) methodology, for which Prague Airport and Profinit, together with other partners, won the “IT Project of the Year” award in 2011 from the Czech Association of Information Technology Managers (CACIO). The CAODB system is mission-critical, so Profinit provides 24/7 technical support for it with very strict SLAs.

ETL Migration and decommissioning of legacy technologies

Based on its excellent reputation earned on projects for Česka spořitelna, Profinit was selected for the challenging “ODI Leaving” project. The project’s aim was to migrate a large amount of data from ETL processes that prepare data for a data warehouse and an analytics platform to a new modern environment and to decommission old and outdated Oracle Data Integrator technologies. Profinit facilitated the successful migration of 130 processes and 1 200 mappings for 3 internal customers, leading to a significant shortening of ETL runtime by many machine days. An additional bonus was that the customer acquired a fully-developed framework for the automation of regression testing, ready for use on other projects. Ceasing to use ODI technologies achieved cost savings of approximately 20%.
“We chose a team of experts from Profinit based on our previous very positive experiences with similar migration projects they had previously undertaken in our bank… We were very satisfied with the overall result and their professional approach. We successfully achieved all stated goals, including approximately 20% cost savings from discontinuing the use of the ODI technology, based in licence fees, architecture and infrastructure simplification, T2M reduction, data load speed-up and overall solution stability.”
Milan Prošek, Data Product Owner at Česká spořitelna

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Custom decision engine platform helping Fintech to scale up

Amplifi Capital, 2024 Scale-up of the Year of Fintech Awards London winner, is one of the most successful near-prime loan providers in the United Kingdom. They identified that their current box-solution decision engine might not support future business needs. To support this growth and gain an advantage over competitors in the UK market, we delivered a no-code decision engine platform leveraging Machine Learning that simplified the decision logic, leading to cost savings on external services and improved response times for loan aggregators. With the new solution, Amplifi has grown from 1 million requests per month to more than 2 million requests per month without any performance issues. For more details, see the case study.

“Profinit delivered a flexible no-code decision engine platform that flawlessly replaced the legacy solution. Their experts helped to train our business analysts and testers how to use the platform and handed over the development and maintenance to our internal application team.”

Petr Luksan, COO & Member of the Board