Publication: Development of a Framework for Real- Time Business Intelligence for Managing Risk in Banking Industry
DOI
Type:
Thesis
Date
2014
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Abstract
There is no doubt that data management is a critical component of any financial se 'vices firm's
risk management strategy in the current market climate. As financial strategies have become
more complex, new financial instruments are added and businesses continue the r expansion
across the globe, the need for a coherent and streamlined approach to data nanagement
potentially including the use of real-time data has never been greater. As today's decisions in the
business world have become more real-time, the systems that support those decisions need to
keep up. It is only natural that Business Intelligence BI systems quickly begin to incorporate
real-time data in order to increase risk transparency to make better and faster busines s decisions,
evaluate and predict broader spectrum of risk scenarios, confidentially answer qi arries from
regulatory bodies and internal stakeholders.
Thisresearch is mainly focusing on risk management of banking industry. The resea 'ch delivers
advanced analytics and reporting capabilities to help strategic decision makers for ns vigate data
to identify new opportunities, manage and mitigate risks, and make fact-based ecisions in
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timely manner. Every bank measure and monitor their performance against characteri tics which
is known as Key Performance Indicators (KPls). KPIs help an organization define t re progress
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towards the organization goals. Important KPls of bank are identified in the literature that is used
by financial regulators to keep track of how well-protected a bank is against risk.The real-time business intelligence framework is emulated for the banking industry in order to
mitigate risk. The framework consists of changed data capture (eDq routine and rule-based
engine. eDe routine is used to capture the changed data from the source database and load it to data mart online real-time. The rule base engines identify pattern changes in the data, based on the
defined parameters and provide advanced analytics and reporting capabilities.
