Modernizing banking with business analytics

IBM Systems and Technology
Thought Leadership White Paper
February 2012
Modernizing banking
with business analytics
Harnessing information to deliver the insights
that build profitability

2 Modernizing banking with business analytics
Contents
2 Introduction
3 Business opportunities built on customer insight
6 The advantages of the mainframe in banking today
7 Why choose System z for workloads in banking?
8 Supporting success with a dynamic infrastructure
11 Next-generation banking responds quickly to new
requirements
12 For more information
Introduction
To garner insights that drive growth in today’s turbulent
economy, top-performing financial organizations recognize the
need to replace intuition with fact-based analytics. Virtually all
organizations struggle to turn the vast amounts of data collected
by their departmentalized operational systems into actionable
insights about their customers, their needs and emerging service
opportunities. Becoming customer-centric has never been more
critical to organizations today, yet restructuring business pro-
cesses to achieve an integrated view of each customer rather than
an account-focused view can be a significant challenge. Finding
efficient ways to integrate information from across a financial
institution’s lines of business demands a strategy that rethinks
approaches for delivering applications.
Today, information needs to be relevant, timely, clear and
available at all points of customer contact. Deploying advanced
analytics, business intelligence and financial performance
management in a comprehensive and centralized way is key to
recognizing shifts in customer demands early, predicting new
opportunities and better managing portfolios and offerings.
Financial organizations are striving to dynamically create prod-
ucts and services the moment they are needed, adopting new
channels to engage and stay in tune with customers, and glean
more intelligence from the barrage of available data to make
customer intimacy their number-one priority.
Banks today cannot rely on the customer reaching out to engage
with them as their needs change. More often than not, with
today’s social media and Internet accessibility, competitors
are proactively engaging customers to win their business.
Increasingly, banks need to stay in step with their customers by
proactively providing offerings and services that match the way
customers do business. More importantly, banks need to pro-
mote the right offerings and services to customers when they
need it.
The goal must be to deliver a more compelling, personalized
experience for every customer at all touch points. To achieve
this—and to derive sustainable growth for the bank—employees
must have meaningful information at their fingertips, especially
information about the most profitable customers. Employees do
not have the time or patience to page through standardized
reports, searching for relevant information. They need informa-
tion delivered in a manner that matches how they work and
think about issues. Today, information must be delivered to the
medium of choice—such as intelligent mobile phones or tablet
computers—and it must be tailored to the ways users visualize
information, whether via graphs, tables, text or combinations
of formats.

3
Business opportunities built on customer
insight
It is becoming increasingly difficult to stay connected with
customers as they embrace new kinds of business relationships
via online product and service purchases. As a result, many orga-
nizations are flying blind. A recent IBM study reveals that one in
three executives state they frequently lack the information they
need to make critical business decisions—and half say they don’t
have access to sufficient information to do their jobs.1
In banking, information gaps such as these create significant
barriers to delivering a premium customer experience.
Banks today must have a comprehensive view, not only of their
customers’ accounts and balances, but also of their behavior
patterns and preferences, as their needs for financial products
change over their lifetime. To capitalize on these opportunities,
every department needs an in-depth understanding of each cus-
tomer and their immediate needs and desires, coupled with the
ability to react. It is key to have information available at the time
of a decision, in context for each customer.
Modernizing processes with business analytics can help identify
the directions a bank should take, and it can provide the tools
necessary for getting there. For example, maximum ATM
withdrawals can be adjusted up or down in real time to match a
customer’s account balance, past behaviors and credit risk.
Behavioral analysis can predict the profitability of a customer or
the likelihood that the customer might defect to a competing
institution. With such capabilities, banking operations and cus-
tomer services can become more customer-centric, while driving
profitability up.
Deliver change
into the
organization
Modernize
banking
operations
Reinvent
customer
relationships
Three key areas provide a foundation not only for improving
business operations, but also for putting into place an analytics
initiative that will help banks meet critical business challenges
such as:
●● Reinventing customer relationships
●● Delivering change into an organization
●● Modernizing banking operations

Reinventing customer relationships
Understanding the behaviors of customers—especially those
who are high value—creates strong relationships in the financial
services industry. Effectively using predictive analytics to
anticipate each customers’ unique needs, evaluate their profit-
ability, model specific scenarios, and target relevant offerings
and activities to them can drive both customer satisfaction and
strong margins.
Oftentimes, institutions create segmentations that organize
customers based upon a small number of attributes, such as age
or income—and then market to these customers as if they were a
homogenous group. A more effective approach lets the data
define the attributes that make customers similar or unique.
Rather than reinforcing historical data or assumptions, this
approach provides visibility into emerging events, situations or
relationships, giving organizations the necessary foundation to
improve operations or seize opportunities. Using analytics to
segment customers can identify groups that react to particular
discounts or offers, or have changing financial needs.
Customer relationships are the foundation for growth
Customer insights enable banks to develop a strong base of
profitable, loyal customers that create a foundation for
long-term growth. Strong customer relationships
translate into:
• Understanding the profitability of each customer
• Understanding which customers are inter-related to other
customers and businesses
• Acquiring and retaining high-value customers
• Anticipating customer needs
Delivering change into an organization
In order to achieve its business and customer relationship goals,
a modern approach to banking focuses on integrating analytics
across the various processes within the institution. Analytics
enables tactical, customer-facing operational activities such as:
●● Gaining new business by up-selling and cross-selling to
customers at the time of purchase
●● Preventing loss by identifying fraud at the time of transaction
●● Stopping and reporting money laundering by detecting key
behavior patterns
Banks also can use analytics to enhance their strategic,
back-office activities by:
●● Identifying the profitability of customers across lines of
business
●● Reducing risk by better forecasting defaults and late payments
●● Using predictive analytics technology to determine the
amount of money each unique customer is allowed to
withdraw from an ATM
●● Segmenting customers based on demographics, relationships
and transaction behaviors to increase wallet share and
individual profitability
●● Enhancing online merchandizing by analyzing customers’
purchasing preferences
●● Supporting mobile phone transactions and analysis of
those transactions

5
Modernizing banking operations
Building the dexterity to deliver analytics in today’s global
operations requires strategies that can help banks make quick
decisions, execute with speed and change course rapidly, when
necessary. Dexterity simplifies financial operations to better
manage complexity and enhance the ability to react to market
changes. It improves the management of regulatory compliance.
And it integrates the organization with other business partners,
increasing cost variability and exploiting partnerships to
increase agility.
Optimize customer transactions with real-time information
Business analytics
Offer the
right services at the
time of visit.
Identity fraud
at the time
of transaction.
Provide up-sell and
cross-sell at the time
of interaction.
Tailor maximum
withdrawal at the time
of transaction.
New accounts
Credit card
Teller
ATM

Underlying the success of these operations is the need for a
more flexible, agile infrastructure that integrates, rather than
segments, information about an enterprise’s customers and all
their interactions across each business segment. Responsiveness
demands the integration of all customer information from all
lines of business into a centralized architecture that offers real-
time customer perspectives. All parts of the business need to
share the same view of a customer’s total value to the enterprise.
As business processes across an organization become more inter-
connected and global, they will provide the new perspectives,
deeper insights and increased information necessary to withstand
the uncertainty, volatility and complexity of the marketplace.
The advantages of the mainframe in
banking today
Achieving the level of integration necessary for banking success
demands a thoughtful approach to spending the limited IT bud-
get. As the computing needs of banks continue to grow, it is
critical to consider the cost of delivering insights to this wide-
ranging portfolio of applications.
One key to this discussion is the work of Dr. Howard Rubin of
Rubin Worldwide, a firm specializing in technology economics.
Rubin has conducted in-depth studies related to industries and
their IT requirements and costs. Rubin’s economic analysis of a
large number of corporations and businesses around the world
examined the acquisition, support and maintenance costs of vari-
ous IT environments. It concluded that high performance com-
panies that are mainframe-centric are spending less money on
IT costs and are more nimble in their marketplace.
His work demonstrates that a large bank with $10 billion in
annual income utilizing distributed servers would likely deploy
their core banking IT environment on some 1,700 physical serv-
ers.2 This is between five and six times the number required for
a company of the same size in a less compute-intensive field,
such as professional services.
As an information-centric business, a bank typically has
computing needs that are more expensive than other industries.
Rubin states that banks incur a computing cost of about
$9,574 per $1 million in revenue—6.5 times the cost for the
professional services company, and 1.5 times the cost of a
telecommunications company.
How are financial institutions responding to
a competitive and economic environment that
is unlike anything that has come before?
Through better use of information.
Both the size of the environment and the cost of computing can
be considerably reduced, as determined by Dr. Rubin. According
to his analysis, a mainframe-centric organization will spend
33 percent less than a distributed, server-centric environment
to meet the same business needs.2

7
In banking, Rubin breaks this savings down for different
financial services:
●● Forty-nine percent more income per employee
●● Forty-eight percent less IT spend per employee for deposits
●● Thirty-one percent less IT spend per consumer loan
●● Sixty-five percent less IT spend as a percent of revenue for
credit card services
●● Sixty-five percent less cost per teller transaction
●● Forty-four percent lower IT cost per credit card transaction3
A mainframe solution delivers a cost-effective platform for
modernizing and consolidating computing capabilities. By elimi-
nating the loose collections of distributed silos of servers, an
IBM System z® mainframe solution creates a single, centrally
managed system of shareable resources that can be dynamically
reassigned to support critical banking operations.
Why choose System z for banking?
While cost is a key consideration in selecting an approach to
support banking operations, analysts have identified a distinct
shift in recent years to consolidating workloads on centralized,
rather than distributed, systems. Clabby and Associates, for
example, has noted the increasing use of the mainframe “for all
types of workloads—including traditional batch/transactional
workloads as well as modern Java/Linux and business analytics
workloads.” According to Clabby, mainframes such as System z
are not only less expensive to acquire and operate than “a
cacophony of underutilized UNIX- and x86-based servers,” but
the mainframe design delivers key advantages in lower risk and
increased quality of service. 4
Clabby identifies four factors that have been especially influen-
tial in changing how workloads are handled on mainframe
architectures:
●● Design breakthroughs in both hardware and software,
including the introduction of IBM zEnterprise™ systems and
the availability of Linux for mainframes, have allowed new
deployment scenarios.
●● The growing ecosystem of independent software vendors has
made mainframes a more strategic platform.
●● Optimized software stacks better exploit System z native
hardware and software elements.
●● Specialized packaging of hardware, software and services
effectively addresses the life-cycle cost of mainframe
operations.4
In system design, not only does the System z mainframe
provide a higher bandwidth internal bus, greater security and
the scalability and speed to handle large workloads better than
distributed systems, it delivers superior efficiencies with out-
standing processor utilization rates. While distributed servers
operate at only 40 to 60 percent utilization, the mainframe can
consistently operate at 100 percent.4
A scale-up architecture such as System z, Clabby concludes,
provides “the best economics for large scale business analytics
workloads.” Organizations that manage data in a centralized
mainframe environment, rather than siloed distributed
environments, can provide business analytics capabilities—and
the resulting business insights—to hundreds or thousands of
users, laying the groundwork for innovation and growth that
are central to business success. 4

Supporting success with a dynamic
infrastructure
The demands of business require a banking platform that
incorporates a flexible yet solid foundation of discrete, readily
accessible and reusable core components that provide the opera-
tional dexterity needed to deliver results across a range of
requirements.
Banking and Financial Markets CEOs, like
their peers in most other industries, are
determined to put customers front and center.
“Getting connected” to better understand,
predict and give customers what they really
want is the top priority for 89 percent of
these executives surveyed by IBM.5
Increased operating speed and adaptability
Today, many companies are striving to drive down costs while
retaining the security, availability and agility they need to grow
with ease. A centralized server infrastructure reduces complexity
and costs while lowering overall administration. Simplifying and
consolidating resources creates systems that can reduce latency
and complexity on the IT side, while enabling quick information
access and immediate action on the business side.
As workloads change over time, you can tailor the system to
your current needs with the ability to add additional capacity in
the future. You also benefit from the ability to dynamically reas-
sign installed capacity to meet unforeseen requirements, usually
without application outages, to ensure a smooth growth curve
for your business.
IBM mainframe solutions offer significant advantages for simpli-
fying and consolidating resources:
●● The System z mainframe offers leading-edge technology in
virtualization. Based on more than 40 years of innovation, its
virtualization capabilities are designed to enable the system to
appear as multiple unique machines that can securely share
memory, processor and disk resources across system images.
System z can be dynamically reconfigured to match the
requirements of the computing environment, providing the
ability to drive higher utilization rates and maximize the
business return on your IT investments. With the ability to
eliminate redundant capacity isolated in siloed systems, this
centralization allows IT assets to be applied to your most
critical work, helping to meet business goals.
●● With IBM zEnterprise technology and the IBM zEnterprise
BladeCenter® Extension (zBX), you can now centrally
manage workloads across platforms that are based on other
operating systems such as UNIX, Linux and Microsoft
Windows under the umbrella of a centralized, managed
infrastructure. Now your systems can self-manage work to
efficiently support your business, eliminating many of the
manual tasks associated with establishing the connectivity and
management associated with a distributed environment.

9
Enhanced management of valuable data
To sharpen your company’s competitiveness, consider how you
leverage your most valuable asset—your data. Extracting
information hidden in dispersed databases can be difficult.
Today, many companies suffer from internal inefficiencies
caused by business processes that evolved separately to create
silos of data. The lack of a centralized view of your business can
prevent operational personnel from quickly understanding
developing business issues such as the need to detect fraudulent
purchases in real time, or identify preferred customers at every
point of contact.
IBM solutions are designed to improve both IT and business
management:
●● Effectively creating a central environment demands a
database with robust availability and security characteristics.
IBM DB2® for z/OS® provides that and more. It has the
ability to manage data without most of the planned outages
that are required in alternative systems. DB2 for z/OS offers
the ability to run data maintenance tasks concurrent with
production workloads, ensuring the availability of your most
valued asset.
●● The IBM Smart Analytics System 9700 can extend the
operational environment with advanced analytics workloads. It
can support operational analytics, deep data mining and
analytic reporting with minimal data movement, high
performance and the utmost security.
●● The introduction of the IBM DB2 Analytics Accelerator now
enables organizations to reduce the headaches of managing
response times for intensive query workloads. The DB2
Analytics Accelerator seamlessly integrates IBM Netezza data
warehouse appliances into a DB2 for z/OS environment,
making it possible to deploy an environment that offers
consistent, fast response times to frequently asked questions,
as well as those unknown and unanticipated questions. With
this solution, there is no need to predetermine the questions
business users will ask to ensure acceptable response times.
This massively parallel processing environment delivers the
flexibility business users need, providing answers at the speed
of thought. Users can now investigate issues in real time,
without long disruptive delays of minutes, hours or even days,
to determine answers to business questions. This appliance
allows organizations to focus on driving business results, not
managing the underlying database structures.
●● To complement the strengths of DB2, IBM Tivoli® asset and
financial management solutions for zEnterprise allow you to
measure the costs of business services, including resource
usage and software and vendor contracts across the full IT
infrastructure. Tivoli solutions provide the visibility into
consumption by resource type and transform that data into
clear, fair and auditable reports for cost recovery across all
managed platforms—irrespective of operating system.
Improved regulatory compliance
The quality and security of data is a critical consideration for
every bank in today’s networked environment. With the press
filled with accounts of cyber attacks and security failures, finan-
cial institutions are aware that a secure server is paramount to
protecting vital business data. Compliance with regulatory
governance measures such as the Dodd-Frank Wall Street
Reform and Consumer Protection Act, adds additional
demands for a high degree of accuracy within the data. Business
processes require access across corporate data to deliver better
forecasting of liquidity, cash flow and capital management for
ongoing operations.

A secure data environment is fundamental to meeting these
requirements, and IBM zEnterprise, z/OS and DB2 for z/OS
combine to offer the highest levels of security, with the highest
security rating or classification of any commercially available
server. The solution has been awarded Common Criteria
Evaluation Assurance Level 5 (EAL5) by the International
Standards Organization.
The security-rich, holistic design of the IBM mainframe enables
businesses to rest assured that they have a highly secure environ-
ment that is capable of protecting data from both internal and
external threats. Originally designed to be shared by thousands
of users, the IBM mainframe has security built into nearly every
level of the computer—from the processor level to the operating
system to the application level, ensuring businesses can address
regulatory reporting needs with confidence.
IBM mainframes support the security and compliance the finan-
cial services industry needs:
●● System z provides exceptional performance and function via
cryptographic coprocessors and accelerators that are individu-
ally specialized to address various encryption needs. With tape
and disk compression and encryption, data is protected in
both the data center and at the data backup or recovery sites.
●● By leveraging IBM WebSphere® based solutions within the
zEnterprise infrastructure, businesses can easily deploy
cloud-based technologies to ensure highly available, secure
communication to support access and availability of
information. Connecting alternative platforms into the
zEnterprise architecture allows siloed applications to share the
secure front end of a mainframe, with the deployment
flexibility of the IBM BladeCenter environment. No longer
will businesses need to deploy isolated servers to support
UNIX- or Windows-based applications. These can now be
supported natively in the zBX.
Providing 99.999 percent availability, System z helps ensure
continuous operation for business processes across the
enterprise. The ability to run a System z server up to
100 percent utilization—compared to an average of 40 to
60 percent with distributed servers—provides the productivity
that banks require.
The zEnterprise system is designed to break down IT silos
with an integrated and centrally managed system that spans
heterogeneous resources. zEnterprise enables managing
cross-platform and cross-vendor resources with a single
system, supports a full range of access methods and allows
access from vast numbers of users simultaneously without
degradation in service levels. The ability to consolidate data
center resources can enable organizations to reduce IT labor
by as much as 70 percent, energy use by 80 percent, and floor
space requirements by 90 percent.6 Consolidation and
integration also provide a cost-effective solution, as hundreds
of distributed workloads can be consolidated onto a single
System z server.
●
●
●
●
Gaining business advantages
zEnterprise enables banks to break down the islands of technol-
ogy that have been built over time. It provides the agility to
respond to new requirements in as little as a few hours or days,
rather than weeks or months, all while delivering the security
and resiliency a banking infrastructure demands.

11
Here’s what three banks have achieved with System z:
●● Streamlined operations to achieve a 90 percent reduction in
manual touch points in the check-clearing process—cutting
processing errors and remediation
●● Expanded the names checked on the bank’s anti-money
laundering watch lists from 2,500 to more than 40,000—while
reducing the number of false negatives and positives by
75 percent
●● Unified more than 200 million customer records across retail
banking, credit card and insurance consumer lines—increasing
the ability to up-sell products to existing customers
To deliver these results, the System z platform provides query
accelerators, dashboards, reporting and support for a compre-
hensive range of business analytics capabilities such as data min-
ing, statistics, data administration, data protection, master data
management, data warehouse and data integration.
Next-generation banking responds
quickly to new requirements
It seems that every day new opportunities present themselves.
Now the necessary information can be captured and analyzed, so
banks can achieve results that strengthen and build business.
In the typical distributed environment, the process for exploiting
information to capture opportunities requires several labor-
intensive steps with long lead times. First, the hardware needs to
be acquired and installed, then the software acquired and
installed, network connected, data captured and loaded, and
finally, queries run. In a System z environment, the process
changes. With its Capacity on Demand function, new resources
can simply be turned on if necessary. Software is cloned to
create a new image, data is made available in the shared data
environment and users are ready to run their queries. Bottom
line: A bank can achieve the agility it needs to meet both
temporary and long-term requirements—as it benefits from
the flexibility of multiple operating systems within a single-
managed system.
System z is designed to provide optimal service delivery as
required by the demanding computing environments of banks. It
integrates data serving, data warehousing and business analytic
workloads into a single approach that brings together opera-
tional data and advanced analytics for actionable insight. The
system extends analytics capabilities to give employees and
customers better business intelligence at the speed of business.
With its proven technology and hallmarks of scalability,
security and availability, System z offers a robust, cost-effective
and secure solution for delivering the next generation of
banking solutions.

For more information
To learn more about how IBM System z solutions can drive
new initiatives that build revenue opportunities for banks, visit:
ibm.com/systems/z
Additionally, IBM Global Financing can help you acquire the IT
solutions that your business needs in the most cost-effective and
strategic way possible. We’ll partner with credit-qualified clients
to customize an IT financing solution to suit your business goals,
enable effective cash management, and improve your total cost
of ownership. IBM Global Financing is your smartest choice to
fund critical IT investments and propel your business forward.
For more information, visit: ibm.com/financing
© Copyright IBM Corporation 2012
IBM Corporation
Systems and Technology Group
Route 100
Somers, NY 10589
Produced in the United States of America
February 2012
IBM, the IBM logo, ibm.com, DB2, System z, Tivoli, WebSphere,
zEnterprise, and z/OS are trademarks of International Business Machines
Corp., registered in many jurisdictions worldwide. Other product and service
names might be trademarks of IBM or other companies. A current list of
IBM trademarks is available on the web at “Copyright and trademark
information” at ibm.com/legal/copytrade.shtml
Linux is a registered trademark of Linus Torvalds in the United States, other
countries, or both.
Microsoft and Windows are trademarks of Microsoft Corporation in the
United States, other countries, or both.
UNIX is a registered trademark of The Open Group in the United States
and other countries.
Java and all Java-based trademarks and logos are trademarks or registered
trademarks of Oracle and/or its affiliates.
Other company, product and service names may be trademarks or service
marks of others.
This document is current as of the initial date of publication and may be
changed by IBM at any time. Not all offerings are available in every country
in which IBM operates.
The performance data and client examples cited are presented for illustrative
purposes only. Actual performance results may vary depending on specific
configurations and operating conditions. It is the user’s responsibility to
evaluate and verify the operation of any other products or programs with
IBM products and programs. THE INFORMATION IN THIS
DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY,
EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY
WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION
OF NON-INFRINGEMENT. IBM products are warranted according to
the terms and conditions of the agreements under which they are provided.
The client is responsible for ensuring compliance with laws and regulations
applicable to it. IBM does not provide legal advice or represent or warrant
that its services or products will ensure that the client is in compliance with
any law or regulation.
1 IBM Institute for Business Value, “Breaking away with business
analytics and optimization: New intelligence meets enterprise
operations,” IBM Global Business Services Executive Report,
November 2009. http://public.dhe.ibm.com/common/ssi/ecm/en/
gbe03263usen/GBE03263USEN.PDF
2 Rubin, Howard, “Technology Economics: Economics of Computing-
The Internal Combustion Mainframe,” Rubin Worldwide.
www.rubinworldwide.com/files/Mainframe_Economics.pdf
3 Rubin, Howard, and Jed Rubin, “Technology Economics: The Cost
Effectiveness of Mainframe Computing,” Rubin Worldwide, July 2010.
www.rubinworldwide.com/files/Mainframe_Cost_Effectiveness.pdf
4 Clabby Analytics, “Choosing IBM zEnterprise for Next Gen Business
Analytics Applications,” October 2011. http://www.clabbyanalytics.com/
uploads/zBAfinalfinalfinal.pdf
5 IBM Institute for Business Value, “Capitalizing on Complexity:
Insights from the Global Chief Executive Officer Study,” IBM, 2010.
http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=
PM&subtype=XB&htmlfid=GBE03314USEN
6 Distributed server comparison is based on IBM cost modeling of Linux
on zEnterprise vs. alternative distributed servers. Given there are
multiple factors in this analysis such as utilization rates, application type,
local pricing, etc., savings may vary by user.
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Modernizing banking with business analytics

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