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By modernizing its data architecture with Cloudera Enterprise, mBank, a leading Polish financial institution, improved query performance and gained access to data that had been previously inaccessible, enabling it to deploy new applications and improve decision making to expand its market position.

 

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Overview

mBank S.A. is one of the leading Polish financial institutions and a member of Commerzbank Group (originally BRE – Export Development Bank). It is the fourth largest bank in Poland measured by total assets, servicing over 4.1 million retail clients and 19,562 corporate clients in Poland, and over 800,000 retail clients in Czech Republic and Slovakia.

mBank was established in 1986 and thus has underlying legacy IT systems that were no longer capable of keeping pace with the ever-increasing volumes of data. For example, data science staff were accustomed to using data from the previous day because of the time required to integrate and process data.

Solution

mBank built a modern IT infrastructure with Cloudera Enterprise that enables it to integrate data and rapidly populate its data warehouses with more than 300GB of data, with all the data sources being accessed simultaneously. Analyses and decisions can be made with the most current data, with queries completed much faster.

We’ve observed a four-times increase in speed for certain queries in comparison to our Oracle Data Warehouse

Artur Szymanski, Responsible for IT infrastructure at the Data Warehousing and Data Science Departments, mBank

Additionally, mBank is building up its Data Science department to take advantage of this centralized Enterprise Data Hub.

Data Science runs comprehensive analyses, which make large demands on computing power and require fast access to big data….The calculations were no longer feasible on traditional computing platforms.

Artur Szymanski, Responsible for IT infrastructure at the Data Warehousing and Data Science Departments, mBank

Impact

A central data hub based on Cloudera Enterprise is helping improve performance enormously. For example, mBank reduced its daily data integration processes by 66 percent.

Instead of 24 hours, we only need eight hours now for the entire process

Artur Szymanski, Responsible for IT infrastructure at the Data Warehousing and Data Science Departments, mBank

With this modern data architecture, mBank is also reducing its costs and beginning to provide access to, and integration of, data that had been inaccessible because of the slow legacy environment.

Having access to all the data means that we can deploy many applications for the first time. We can also save money, because much of the data will be available in Cloudera instead of the legacy data warehouse.

Artur Szymanski, Responsible for IT infrastructure at the Data Warehousing and Data Science Departments, mBank