Data engineering and BI
We have identified while working with clients across industried that the hardest part on BI reporting, ML or model development is often not the task itself, but the data management around it. The data engineering is often the most challenging part of the problem.
HOW CAN WE HELP WITH DATA ENGINEERING AND BI CHALLENGES
Our data engineers and software developers help you to build a solid data architecture. We could help you with:
Design of your cloud architecture
Building your data lake or data warehouse
Data preparation and cleansing for your BI analytics or model development
Automation of the data ingestion
Custom reports and dashboards
Building of data transformation and calculation engines
We have identified, developed, and successfully implemented solutions for both large and small companies, always with the emphasis on maximizing the business value.
In early 2018, a new methodology for the calculation of provisions for Expected Credit Losses (or ECL) under IFRS9 for the banking sector came into force. Our team was tasked with implementing a solution for the retail credit exposures of Raiffeisen Bank International (RBI). The calculation is used to check the plausibility of results provided by each RBI subsidiary bank.
We have created a unique solution for recurring stress tests in credit risk Raiffeisen Bank International, which allows us to define our own test scenarios for simulation of portfolio development and calculations of individual Risk Parameters RWA or ECL. Our application was successfully used for EBA stress tests in 2018 and continues to be extensively used for other stress testing needs by internal or required controllers.