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5 min read • Nov 29, 2020
Austria d.d. Zagreb (RBA) began operating in 1994 as the first bank in Croatia
to have been founded with foreign capital. Being wholly-owned by Raiffeisen
Bank International based in Vienna, RBA is a part of a strong international
provides a comprehensive range of banking and other financial services to its
customers through members of the Raiffeisen Group in Croatia which, in addition
to the Bank, also includes a building association, a pension funds management
company, a pension insurance company, Raiffeisen Invest, and Raiffeisen
Consulting. Raiffeisen Group is the only financial services provider in Croatia
to offer a complete range of pension system services, so-called 2nd and 3rd
pillar funds, as well as a pension insurance company which has been the first
and the only pension insurance company registered in Croatia to date.
Raiffeisenbank Austria d.d. Zagreb operates 66
branches located in 36 Croatian cities.
The discussion with
RBA started with sales departments, both retail and corporate, and the key
challenge was a low level of data integration. Most of the data needed for
everyday decision-making was present in a data warehouse, making it easy to
connect to data sources. However, a part of data modelling and wrangling was
still left to a BI department or sometimes even to business users to be done on
a daily or monthly basis.
The fact that Excel
was the tool for the decision-making process in both retail and corporate departments
usually brought additional process challenges.
The BI department,
together with a CFO, was a project sponsor, and the main goal from the BI’s
perspective was to offload daily and monthly queries onto its business users by
allowing them to answer more questions on their own. Additionally, the key
objective from the perspective of business users was also to shorten the data
preparation time, as well as to have a continuously updated application, so
that they can focus only on analytics. Also, as a side-effect, the users
experienced the ability to answer some questions that were maybe not previously
brought up while analyzing data in a Pivot Table format. Hopefully, this was a
segment which could create an added value by using the solution for several
Qlik platform really helped us
cut the time of report preparation by almost 80% in my department, and moved it
away from repetitive activities like data blending, cleaning and huge Excel
report preparation, into activities such as taking care of data quality.
- Head of BI Department, Raiffeisenbank
An additional side
goal was to introduce the same platform for data analytics, since the company
HQ in Austria has a large Qlik deployment, and much of the intercompany
communication and reporting was delivered through the Qlik platform.
Enable better access to your data in real time with our end-to-end data integration solution.
applications were delivered during the project - one for the retail team and one
for the corporate team. The goal was to
integrate all key information on credits, loans, and some specific KPIs. Also,
to help users during the adoption process, a Nprinting report was created and
sent to them via email in a predefined Excel template. It contained the key
information which didn’t require drill-down and interactivity present in
self-service Qlik Sense applications.
Qlik took off a huge burden of
daily report preparation and cut it basically to 0 minutes. And the same goes
for all standard recurring reports. It also brought simplicity to development,
so my team is now able to address requirements from various departments in
hours, not in weeks.
- Chief BI Designer, Raiffeisenbank Austria d.d.
Some of the main benefits can be
separated into two groups - making data preparation time shorter and making
data more (and more frequently) accessible to a wide number of decision-makers.
Users’ response to
a delivered solution has been great and, currently, there are quite a few other
departments which stand in line to automatize their reporting. RBA also has two
people in the internal team who are responsible for the first-level support and
development of some new applications for other departments. Basically, the key
goal is to push all repetitive reporting into Qlik in order to save time on
data and report preparation.
Leverage your data, discover where profit is being made, and effectively manage risk with automated business reporting for banks.
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