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Intelligent Business 
Operations 
Best Practices in Cash Supply Chain Management 
Executive Summary 
The purpose of any supply chain is to meet customer needs and grow business prof-its. 
The cash supply chain is no exception. Banks manage their cash point networks 
(e.g., ATMs, bank branches, cash centers, retailers) by providing cash withdrawal 
services where and when customers need them. To make a profit, banks must man-age 
these activities efficiently. 
Managing cash supply operations is a complex process that involves independent 
stakeholders including banks, cash in transit companies (CITs), and independent 
service operators (ISOs). The process also involves decision-makers at strategic, tac-tical, 
and operational levels—each performing certain tasks by managing and con-trolling 
the operations and processes. 
Every decision-maker needs timely, quality information. The main question is how 
to quickly provide decision-makers with the right insights to help them make win-ning 
decisions. 
This white paper explains the best practices in cash supply chain management and 
outlines the benefits of the intelligent business operations (IBO) working style. 
IBO and Company Performance 
IBO is a work style that integrates near-real- 
time analytic and decision manage-ment 
technologies into the transaction-executing 
and bookkeeping operational 
activities that run the business.1 
According to Gartner, by 2016 around 
70 percent of companies reporting 
high performance will be implementing 
extreme collaboration or real-time pre-dictive 
analytics to manage their busi-ness 
processes. 
IBO tools (Figure 1) can help improve 
business processes by providing visibil-ity, 
situational awareness, and flexibility 
for those who manage cash supply chain 
operations and make decisions on a 
daily basis. 
Why Efficiency Matters 
Despite the popularity of credit cards, 
cash is still the most common payment 
method. Globally, more than half of pay-ments 
are made in cash. The increasing 
demand for easily accessible cash drives 
banks to expand their cash point net-works. 
However, as the network grows, it 
becomes more difficult to supervise— 
and operating costs rise. 
Effective cash management is a crucial 
success factor for banks and outsourc-ing 
companies. It can give banks more 
prime retail space in branches and free 
up staff to focus on customer-facing ac-tivities. 
Other benefits include shorter 
cash lead times, better ATM availability, 
and lower operating costs. 
White Paper 
Intel® Xeon® Processor E5 Family 
Data Center Efficiency 
Financial Services
IBO connects internal and external busi-ness 
information systems into a common 
environment where data is analyzed and 
made available in real time for operation 
managers and strategic decision-makers. 
IBO performs a different function than busi-ness 
intelligence (BI) but is complementary. 
The goal of BI systems is to gather and ana-lyze 
the historical data during a certain pe-riod. 
The IBO platform compares historical 
data with real-time data, determines trends 
and links between actions, and makes pro-jections 
for the future. 
Another important IBO function is au-tomating 
optimal decision-making, 
where the forecasted demand, existing 
and planned limitations, and results are 
used in real-time to automatically 
choose the most cost-efficient combina-tion 
of cash quantity, denomination, de-livery 
time, route, etc. 
With IBO, decision-makers have full visi-bility 
to rapidly and flexibly respond to 
real-time changes through: 
• Graphical presentations of information 
• Customization of user interface in accor-dance 
with the performed functions 
• Contingency notifications 
• Decision simulation tools 
Managers can perform real-time monitor-ing 
and evaluations of key performance in-dicators 
(KPI), monitor implementation of 
strategic goals in the company, and stay 
informed on the system suggested tacti-cal 
actions. 
Artificial Intelligence-Based Analytics 
The IBO platform performs the complex 
cash demand forecasting and optimiza-tion 
tasks using its integrated artificial 
intelligence algorithms, capable of real-time 
processing of large amounts of in-formation, 
evaluation of historical data, 
relations between them, trends, and pro-jection. 
It chooses the optimum decisions 
out of millions of possible combinations— 
something the human brain and stan-dard 
analytical tools cannot do. 
It is important to mention that without 
underestimating the human input, the 
expert knowledge of staff is especially 
important in the process of algorithm 
training. The system does not answer 
the question “Why?" Instead, it evaluates 
causes based on insights entered by ex-pert 
staff. 
For example, while analyzing the error of 
system forecasting, an employee notices 
it could have been influenced by an 
event that took place in the region. The 
Intelligent Business Operations 
Contents 
Executive Summary . . . . . . . . . . . . . . . .1 
Why Efficiency Matters . . . . . . . . . . . . .1 
IBO and Company Performance . . . .1 
Artificial Intelligence-Based 
Analytics . . . . . . . . . . . . . . . . . . . . . . . . . .2 
Business Benefits of IBO . . . . . . . . . . .3 
Intelligent Cash Management . . . . . . .3 
Scalability . . . . . . . . . . . . . . . . . . . . . . . . .4 
IBO in Action . . . . . . . . . . . . . . . . . . . . . .4 
Recommendations . . . . . . . . . . . . . . . . .4 
Figure 1. Intelligent business 
operations (IBO) tools 
2
Intelligent Business Operations 
IBO Platform 
• Connects and integrates all 
kinds of information systems 
• Automates processes end-to- 
end across systems 
• Provides visibility into what 
is happening real time 
• Supports evidence-based 
and timely decision-making 
• Delivers efficient manage-ment 
and optimization 
from having responsibility for the 
full cycle vested in a single entity. 
Intelligent Cash Management 
The FOBISS CM* IBO solution is the first 
complete and integrated product for deliv-ering 
cash management services within any 
type of cash point networks: 
• ATMs (cash in/out, recyclers) 
• Bank branches, 
• Cash centers 
• Retailers 
Figure 2. Business benefits of 
the IBO approach 
• It is self-learning 
• It assumes 
• It adapts 
• It predicts 
• It finds typical and untypical 
behavior of each cash point 
• It analyzes and suggests the 
most valuable decisions for 
the user 
algorithm gets this information and re-evaluates 
the relations, thus learning to 
make even more precise projections. 
This work method eliminates the risk of 
losing know-how due to staff changes. It 
also eliminates the information gap 
when, for example, a bank employee fills 
in for a colleague from a branch in an-other 
region who is on sick leave. 
Studies and pilot projects evaluated the 
precision of these complex algorithms. 
For example, in a network of 6,000 cash 
points, in measuring the efficiency of ac-tivities, 
revealed that using the IBO plat-form 
saves: 
• 22 percent in logistics costs 
• 17 percent of costs related to 
preparation of money 
• 55 percent of costs related to interest 
In monetary terms, a bank operating a 
cash point network of such size saves 11 
million Euros (USD 13.6 million) per year. 
Risk management takes place simultane-ously 
and the quality of client service is 
ensured, so profitability grows. 
Business Benefits of IBO 
IBO benefits financial institutions in a 
number of ways (Figure 2). This enables 
them to shorten cash lead times, maxi-mize 
cash point availability, reduce net-work 
operating costs, and maximize 
profitability. Additionally, the technology 
enables its users to: 
• Be aware of network performance 
including real-time profitability 
• Reduce cash-related operating 
costs by up to 40 percent 
• Automatically support set KPIs and 
service level agreements (SLAs) for 
the entire logistical chain 
• Ensure minimization of on-balance 
sheet cash in the supply chain by 
using effective forecasting and 
stock management tools 
• Use latest-generation IBO technol-ogy 
in cash points to streamline 
cash transactions 
• Ensure the supply chain is 
defined, integrated, and managed 
as a single entity 
• Reduce physical space and 
resources devoted to the adminis-tration 
and handling of cash 
• Examine the potential for the full 
cash cycle to be outsourced with 
the benefits of full accountability, 
ownership, and efficiency that flow 
3
Intelligent Business Operations 
The FOBISS CM* IBO solution can: 
• Save significant time and HR and 
4 
money resources for users of appli-cations 
by optimizing decisions and 
processes 
• Eliminate dormant cash all over the 
network and maximize efficiency, 
meeting SLAs with minimum 
resources 
• Provide complete transparency into 
processes for significant savings 
and evidence-based and timely 
decision-making 
Scalability 
Effective cash management requires the 
ability to aggregate and decide upon 
large volumes of data from different 
sources such as ATMs, bank branches, 
or vaults (Figure 3), while organizations 
need fast computation and flexible ac-cess 
to this data in real-time. Large 
numbers of cash storage devices, multi-plied 
by provided currencies, decision 
spaces, and hourly or daily solution de-mands, 
create huge computational 
workloads that can be managed by the 
parallel processors of modern servers. 
Figure 5 documents the results of a test 
at a bank with 185 branches, which was 
able to decrease its dormant cash level 
by 41 percent. 
Figure 6 shows the results of testing at a 
bank with 1,100 ATMs. Once FOBISS CM 
was deployed, the bank started planning 
CIT visits more accurately, reducing both 
planned and emergency visits by 16 
percent and 64 percent, respectively. 
Recommendations 
The days of limited, unintegrated solutions 
with only basic forecasting and optimiza-tion 
are over. Users in today’s volatile world 
expect high performance and total flexibil-ity 
and situation awareness to deal with 
day-to-day cash supply chain management. 
When choosing a cash supply chain man-agement 
solution, it is important to look for 
technologies that are highly responsive and 
able to increase performance efficiency. 
Such technologies should include demand 
management tools, optimization engines, 
complex event processing tools, role-based 
dashboards, decision management tech-nologies, 
and performance measurement 
analytics. Most importantly, they should be 
based on near- or real-time data. 
FOBISS worked closely with engineers 
from Intel, using the advanced Intel 
fasterLab environment to undertake a 
number of benchmarks of the FOBISS 
CM product to ensure it can scale out to 
significant volumes and still provide fast 
and flexible results. The collaboration 
resulted in improved crucial daily calcu-lation 
performance of 6,000 cash points 
(CPs) per hour per standard server.2 
Adding more standard server nodes to 
the calculation cluster and/or dedicating 
more hours daily calculations allows 
FOBISS to meet the exacting demands 
of scale and timeliness present in today’s 
and tomorrow’s banking enterprises. 
Built on the Microsoft .NET* platform run-ning 
on Intel® Xeon® processors, FOBISS 
CM delivers effective data analysis and 
cash management with the scalability to 
manage tens of thousands cash points. 
IBO in Action 
FOBISS CM is showing strong results for 
banks that have tested it. 
Figure 4 shows a case study where FO-BISS 
CM was tested at a bank with 6,000 
ATMs. The tests resulted in total annual 
savings of 11.5 million Euros. 
Independent 
Service Operators 
CIT 
Companies 
Currency 
Chests 
Central 
Bank 
Commercial 
Banks 
Outsourcing Cash 
Management 
Companies 
Figure 3. Effective cash management requires the ability to aggregate 
large volumes of data from different sources
Intelligent Business Operations 
Replenishment Cost (CIT) 
Cash Custody 
Cash Processing Cost 
Cash Interest Rate 
5 
Total Annual Savings: 11.5 Million Euros 
724,098 EUR 
Figure 4. Testing the platform in 
a bank with 6,000 ATMs showed 
total annual savings of 11.5 mil-lion 
Euros. 
Replenishment Cost (CIT) Cash Custody Cash Processing Cost 
Cash Interest Rate Dormant Cash Level Down 24 Percent Cash Replenishment Down 15 Percent
Intelligent Business Operations 
Figure 5. A bank with 185 
branches decreased its dormant 
cash level by 41 percent. 
Figure 6. After using IBO tech-niques, 
a bank with 1,100 ATMs 
reducing both planned and 
emergency visits by 16 percent 
and 64 percent, respectively. 
Annual CIT Stops 
70,000 
60,000 
50,000 
40,000 
30,000 
20,000 
10,000 
0 
Planned Stops Emergency Stops 
1 “Hype Cycle for Business Process Management,2014,” Gartner, July 30, 2014 (https://www.gartner.com/doc/2812117/hype-cycle-business-process-management). 
2One standard cash point (CP) represents an ATM holding five denominations of a single currency. Daily calculations are performed at night and can take multiple hours for large CP counts. The test config-uration 
included a server with two Intel® Xeon® processors E5-2699 v2 (45M cache, 2.30 GHz), 128GB of DDR3 memory at 1800MHz, and Intel® Solid-State Drive Data Center Family P3700. 
INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, 
TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL’S TERMS AND CONDITIONS OF SALE FOR SUCH 
PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL 
PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, 
COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR 
INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH 
MAY OCCUR. 
Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of 
any features or instructions marked “reserved” or “undefined.” Intel reserves these for future definition and shall have no responsibility whatsoever for 
conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. 
The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current 
characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. 
Copies of documents which have an order number and are referenced in this document, or other Intel literature, may be obtained by calling 1-800-548-4725, or by 
visiting Intel’s Web site at www.intel.com. 
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark 
and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the 
results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of 
that product when combined with other products. 
Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether 
referenced data are accurate. 
Copyright © 2014 Intel Corporation. All rights reserved. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. 
*Other names and brands may be claimed as the property of others. Printed in USA 1114/SS/JW Please Recycle

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FOBISS Cash Management solution overview in Russian (на русском)
 

Intelligent_Business_Operations

  • 1. Intelligent Business Operations Best Practices in Cash Supply Chain Management Executive Summary The purpose of any supply chain is to meet customer needs and grow business prof-its. The cash supply chain is no exception. Banks manage their cash point networks (e.g., ATMs, bank branches, cash centers, retailers) by providing cash withdrawal services where and when customers need them. To make a profit, banks must man-age these activities efficiently. Managing cash supply operations is a complex process that involves independent stakeholders including banks, cash in transit companies (CITs), and independent service operators (ISOs). The process also involves decision-makers at strategic, tac-tical, and operational levels—each performing certain tasks by managing and con-trolling the operations and processes. Every decision-maker needs timely, quality information. The main question is how to quickly provide decision-makers with the right insights to help them make win-ning decisions. This white paper explains the best practices in cash supply chain management and outlines the benefits of the intelligent business operations (IBO) working style. IBO and Company Performance IBO is a work style that integrates near-real- time analytic and decision manage-ment technologies into the transaction-executing and bookkeeping operational activities that run the business.1 According to Gartner, by 2016 around 70 percent of companies reporting high performance will be implementing extreme collaboration or real-time pre-dictive analytics to manage their busi-ness processes. IBO tools (Figure 1) can help improve business processes by providing visibil-ity, situational awareness, and flexibility for those who manage cash supply chain operations and make decisions on a daily basis. Why Efficiency Matters Despite the popularity of credit cards, cash is still the most common payment method. Globally, more than half of pay-ments are made in cash. The increasing demand for easily accessible cash drives banks to expand their cash point net-works. However, as the network grows, it becomes more difficult to supervise— and operating costs rise. Effective cash management is a crucial success factor for banks and outsourc-ing companies. It can give banks more prime retail space in branches and free up staff to focus on customer-facing ac-tivities. Other benefits include shorter cash lead times, better ATM availability, and lower operating costs. White Paper Intel® Xeon® Processor E5 Family Data Center Efficiency Financial Services
  • 2. IBO connects internal and external busi-ness information systems into a common environment where data is analyzed and made available in real time for operation managers and strategic decision-makers. IBO performs a different function than busi-ness intelligence (BI) but is complementary. The goal of BI systems is to gather and ana-lyze the historical data during a certain pe-riod. The IBO platform compares historical data with real-time data, determines trends and links between actions, and makes pro-jections for the future. Another important IBO function is au-tomating optimal decision-making, where the forecasted demand, existing and planned limitations, and results are used in real-time to automatically choose the most cost-efficient combina-tion of cash quantity, denomination, de-livery time, route, etc. With IBO, decision-makers have full visi-bility to rapidly and flexibly respond to real-time changes through: • Graphical presentations of information • Customization of user interface in accor-dance with the performed functions • Contingency notifications • Decision simulation tools Managers can perform real-time monitor-ing and evaluations of key performance in-dicators (KPI), monitor implementation of strategic goals in the company, and stay informed on the system suggested tacti-cal actions. Artificial Intelligence-Based Analytics The IBO platform performs the complex cash demand forecasting and optimiza-tion tasks using its integrated artificial intelligence algorithms, capable of real-time processing of large amounts of in-formation, evaluation of historical data, relations between them, trends, and pro-jection. It chooses the optimum decisions out of millions of possible combinations— something the human brain and stan-dard analytical tools cannot do. It is important to mention that without underestimating the human input, the expert knowledge of staff is especially important in the process of algorithm training. The system does not answer the question “Why?" Instead, it evaluates causes based on insights entered by ex-pert staff. For example, while analyzing the error of system forecasting, an employee notices it could have been influenced by an event that took place in the region. The Intelligent Business Operations Contents Executive Summary . . . . . . . . . . . . . . . .1 Why Efficiency Matters . . . . . . . . . . . . .1 IBO and Company Performance . . . .1 Artificial Intelligence-Based Analytics . . . . . . . . . . . . . . . . . . . . . . . . . .2 Business Benefits of IBO . . . . . . . . . . .3 Intelligent Cash Management . . . . . . .3 Scalability . . . . . . . . . . . . . . . . . . . . . . . . .4 IBO in Action . . . . . . . . . . . . . . . . . . . . . .4 Recommendations . . . . . . . . . . . . . . . . .4 Figure 1. Intelligent business operations (IBO) tools 2
  • 3. Intelligent Business Operations IBO Platform • Connects and integrates all kinds of information systems • Automates processes end-to- end across systems • Provides visibility into what is happening real time • Supports evidence-based and timely decision-making • Delivers efficient manage-ment and optimization from having responsibility for the full cycle vested in a single entity. Intelligent Cash Management The FOBISS CM* IBO solution is the first complete and integrated product for deliv-ering cash management services within any type of cash point networks: • ATMs (cash in/out, recyclers) • Bank branches, • Cash centers • Retailers Figure 2. Business benefits of the IBO approach • It is self-learning • It assumes • It adapts • It predicts • It finds typical and untypical behavior of each cash point • It analyzes and suggests the most valuable decisions for the user algorithm gets this information and re-evaluates the relations, thus learning to make even more precise projections. This work method eliminates the risk of losing know-how due to staff changes. It also eliminates the information gap when, for example, a bank employee fills in for a colleague from a branch in an-other region who is on sick leave. Studies and pilot projects evaluated the precision of these complex algorithms. For example, in a network of 6,000 cash points, in measuring the efficiency of ac-tivities, revealed that using the IBO plat-form saves: • 22 percent in logistics costs • 17 percent of costs related to preparation of money • 55 percent of costs related to interest In monetary terms, a bank operating a cash point network of such size saves 11 million Euros (USD 13.6 million) per year. Risk management takes place simultane-ously and the quality of client service is ensured, so profitability grows. Business Benefits of IBO IBO benefits financial institutions in a number of ways (Figure 2). This enables them to shorten cash lead times, maxi-mize cash point availability, reduce net-work operating costs, and maximize profitability. Additionally, the technology enables its users to: • Be aware of network performance including real-time profitability • Reduce cash-related operating costs by up to 40 percent • Automatically support set KPIs and service level agreements (SLAs) for the entire logistical chain • Ensure minimization of on-balance sheet cash in the supply chain by using effective forecasting and stock management tools • Use latest-generation IBO technol-ogy in cash points to streamline cash transactions • Ensure the supply chain is defined, integrated, and managed as a single entity • Reduce physical space and resources devoted to the adminis-tration and handling of cash • Examine the potential for the full cash cycle to be outsourced with the benefits of full accountability, ownership, and efficiency that flow 3
  • 4. Intelligent Business Operations The FOBISS CM* IBO solution can: • Save significant time and HR and 4 money resources for users of appli-cations by optimizing decisions and processes • Eliminate dormant cash all over the network and maximize efficiency, meeting SLAs with minimum resources • Provide complete transparency into processes for significant savings and evidence-based and timely decision-making Scalability Effective cash management requires the ability to aggregate and decide upon large volumes of data from different sources such as ATMs, bank branches, or vaults (Figure 3), while organizations need fast computation and flexible ac-cess to this data in real-time. Large numbers of cash storage devices, multi-plied by provided currencies, decision spaces, and hourly or daily solution de-mands, create huge computational workloads that can be managed by the parallel processors of modern servers. Figure 5 documents the results of a test at a bank with 185 branches, which was able to decrease its dormant cash level by 41 percent. Figure 6 shows the results of testing at a bank with 1,100 ATMs. Once FOBISS CM was deployed, the bank started planning CIT visits more accurately, reducing both planned and emergency visits by 16 percent and 64 percent, respectively. Recommendations The days of limited, unintegrated solutions with only basic forecasting and optimiza-tion are over. Users in today’s volatile world expect high performance and total flexibil-ity and situation awareness to deal with day-to-day cash supply chain management. When choosing a cash supply chain man-agement solution, it is important to look for technologies that are highly responsive and able to increase performance efficiency. Such technologies should include demand management tools, optimization engines, complex event processing tools, role-based dashboards, decision management tech-nologies, and performance measurement analytics. Most importantly, they should be based on near- or real-time data. FOBISS worked closely with engineers from Intel, using the advanced Intel fasterLab environment to undertake a number of benchmarks of the FOBISS CM product to ensure it can scale out to significant volumes and still provide fast and flexible results. The collaboration resulted in improved crucial daily calcu-lation performance of 6,000 cash points (CPs) per hour per standard server.2 Adding more standard server nodes to the calculation cluster and/or dedicating more hours daily calculations allows FOBISS to meet the exacting demands of scale and timeliness present in today’s and tomorrow’s banking enterprises. Built on the Microsoft .NET* platform run-ning on Intel® Xeon® processors, FOBISS CM delivers effective data analysis and cash management with the scalability to manage tens of thousands cash points. IBO in Action FOBISS CM is showing strong results for banks that have tested it. Figure 4 shows a case study where FO-BISS CM was tested at a bank with 6,000 ATMs. The tests resulted in total annual savings of 11.5 million Euros. Independent Service Operators CIT Companies Currency Chests Central Bank Commercial Banks Outsourcing Cash Management Companies Figure 3. Effective cash management requires the ability to aggregate large volumes of data from different sources
  • 5. Intelligent Business Operations Replenishment Cost (CIT) Cash Custody Cash Processing Cost Cash Interest Rate 5 Total Annual Savings: 11.5 Million Euros 724,098 EUR Figure 4. Testing the platform in a bank with 6,000 ATMs showed total annual savings of 11.5 mil-lion Euros. Replenishment Cost (CIT) Cash Custody Cash Processing Cost Cash Interest Rate Dormant Cash Level Down 24 Percent Cash Replenishment Down 15 Percent
  • 6. Intelligent Business Operations Figure 5. A bank with 185 branches decreased its dormant cash level by 41 percent. Figure 6. After using IBO tech-niques, a bank with 1,100 ATMs reducing both planned and emergency visits by 16 percent and 64 percent, respectively. Annual CIT Stops 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 Planned Stops Emergency Stops 1 “Hype Cycle for Business Process Management,2014,” Gartner, July 30, 2014 (https://www.gartner.com/doc/2812117/hype-cycle-business-process-management). 2One standard cash point (CP) represents an ATM holding five denominations of a single currency. Daily calculations are performed at night and can take multiple hours for large CP counts. The test config-uration included a server with two Intel® Xeon® processors E5-2699 v2 (45M cache, 2.30 GHz), 128GB of DDR3 memory at 1800MHz, and Intel® Solid-State Drive Data Center Family P3700. INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL’S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH MAY OCCUR. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked “reserved” or “undefined.” Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. Copies of documents which have an order number and are referenced in this document, or other Intel literature, may be obtained by calling 1-800-548-4725, or by visiting Intel’s Web site at www.intel.com. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate. Copyright © 2014 Intel Corporation. All rights reserved. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. Printed in USA 1114/SS/JW Please Recycle