Banking
© 2012 Ideal Analytics Limited.
Banking – the gamut of all monetary transactions
Banking these days engages in every kind of monetary transactions
between parties
Pension Funds
Monitoring Transactions
Share Market
Insurance
International
Trade
International Funding
Loans
Guarantees
Investments
Secondary Market
Underwrite Trusts
Foreign Exchange
Venture Capitalist
Funding
Mergers &
Acquisitions
Share Market
Public Offerings for Corporates
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© 2012 Ideal Analytics Limited.
Mutual Funds
Banking transactions- generator of data in various
sets and formats
 Every transaction in a bank generates many sets of data that range from identity data to details
of transactions and linked transactions.
 Managing these data has gone through an evolution of approaches.
 It was once account oriented and now the approach is customer oriented
 Banking now has to deal with data for activities that have been registered as well as those that
is a prospect.
 Marketing for future products and banking instruments as well as service is integral to present
day banking.
 Studying the trends of transactions, its aggregate, average and forecasting is essential.
 Predictive analysis becomes extremely important for future growth of banks and the banking
operations in uncharted markets and necessary for new market capturing.
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© 2012 Ideal Analytics Limited.
Data calculation and presentation more important than
management
Calculation and derivation through known and innovative formulae has taken
more importance than mere data storing, management and retrieval.
 Calculation and derivation through known and innovative formulae has taken more importance
than mere data storing, management and retrieval.
 Fast calculation, fast change of alternative hypotheses, smart presentation of alternative
scenarios, without getting embroiled in fixed and in-flexible models, is the demand of the
industry.
 End-user driven analysis, self-serving view of the mathematical derivations, without the need to
handle any intermediate data store other than the transactional data base was being sought by
business analysts.
 Presentation and calculation of data should be directly from the transaction data store reflecting
the currency of data and at the same time not disturbing the point-in-creation transaction data
was specifically demanded.
 Very high security of data with respect to different access privileges and still not compromising
the data authenticity is very important in banking operation.
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© 2012 Ideal Analytics Limited.
Limitations of usual OLAP based BI approach
 The data is huge, the sets are varied, the formats are different, BUT the structure needed are
complex even more.
 The need of complex calculations instantly and changes of that also instantly demands fast
dismantling and re-mantling of the formulae and transience of the data.
 OLAP based solutions have pre-fixed models that require special skills to build and to
dismantle
 OLAP based solutions require intermediate data stores that loses the currency of data
 OLAP tools store the data of every data cube or presentation artefact.
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© 2012 Ideal Analytics Limited.
Data Analytics Approach
Data analytic approach is a specialized form with built-in slickness,
smartness, flexibility and fast manipulations with very advanced
techniques
BUT
we do not store the data, we store the queries, that can be formed
without skill and prior training
 The transience in data secures the data rendered and keeps the currency of data intact every
time any data is changed.
 Each transaction data set does not require to hold more time stamp than is exigent by the
transaction dataset.
 No special time or signature needed to load the data in any special data store.
 YET the entire complexity is translucent to the end-user. The solution does it for the end-user.
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© 2012 Ideal Analytics Limited.
Data Analytics Approach
Applying analytics on transactional data enables quick decision
making thereby generating good returns
Banking
Transactions
Return on
Investment
Business Users
Transactional Data
Generated
Reduce Costs
Revenue Increase
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© 2012 Ideal Analytics Limited.
Quick Decisions
Ideal-Analytics – a solution well researched to suit
the special requirement
 After a long research and development IDEAL-ANALYTICS is used to handle these conditions
with remarkable ease and is very handy and slick.
 The speed of huge matrix manipulations is phenomenal and yet it purports to the end-user as
just another sql-type data language.
 The help provided is intuitive and yet fully documented and on-line.
 The skill needed does not require any prior knowledge.
 User knows the algebra of her business and does not have to depend on any consultant any
further or any extra help.
 The encapsulation of the mathematical wizardry helps the user focus on the business need
and presentation than on technology.
 Huge data sets manipulated in minutes that took days to process.
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© 2012 Ideal Analytics Limited.
Thank you
© 2012 Ideal Analytics Limited.