How BI Consultant in Saudi Arabia in Banking is shifting the paradigm?
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Banking has always been a competitive environment, even
before digitizing the existing industry. Thanks to financial technology,
competition has become more difficult.
Apart from the fact that their profits are at risk by
technology companies, banks are also under intense pressure from regulators.
After the 2008 crisis, regulatory agencies such as FRB, OCC and FDIC are
carefully monitoring banks. Although most banks have not participated in the
activities that led to the crisis, they must follow all the strict compliance
rules adopted after the collapse of the market.
Competitive BI Consultant in Saudi Arabia solutions should reflect all these requirements.
Must be flexible and transparent to adapt to the competition and regulatory
environment. They should be able to keep abreast of the growing digital
evolution of this industry, as more customers are starting to forget the last
time they actually visited the bank. They must be "smart" and lead
better financial and operational decisions. Simply publishing data across
multiple graphs and pie charts is no longer an intelligent BI approach.
Powerful toolkit
It is important to understand that there is no one perfect
BI solution for every aspect of banking. Sure, some systems try to cover most
of these aspects, but none have worked.
That is why one of the biggest trends in banking BI Consultant in Saudi Arabia is the
multi-dimensional toolkit used by business analysts in banks. Given that there
are many tools and many ways to access and address them, banks are being pushed
to find flexible solutions that will make these systems work together and
complement each other.
Data preparation
There are many models involved in financial operations. This
is a statistical model of credit risk, or an algorithmic trading system - all
processes and techniques that enable models to work with appropriately
organized data. These tools often replace or work with data management Microstrategy Consultant in Saudi Arabia tools.
Data management
These are systems that collect data from different data
sources. Their mission is to remove data from data and integrate it into data
lakes.
Data sources
How information is stored is essential because it identifies
systems that have access to data. The source also identifies the types of
conversions that can be made with the data. As you can imagine, the NoSQL
database will be more flexible than the Excel sheet.
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