Risk management in banks has evolved from a compliance-driven role to a strategic business function. While regulatory requirements have increased banks' compliance costs, effective risk management can significantly improve financial performance. To effectively manage risk, banks must define an enterprise risk management framework addressing key areas like risk culture, risk appetite, stress testing, and risk assessment. The use of predictive analytics and big data can enhance risk management practices by improving credit quality, strengthening credit decisioning, and providing a 360-degree view of customers. This allows for more robust credit approval decisions that consider additional contextual factors beyond traditional credit scores.
Bibby Financial Services Global Business Monitor 2017Chinmay Javeri
The Global Business Monitor is an international survey of over 1,600 SMEs across the U.S., Republic of Ireland, United Kingdom, Germany, Poland, Canada, Czech Republic, France, Netherlands, Singapore and Hong Kong.
2015 European Insurance CRO survey – Findings and key themesEY
Get insights about the current state and changing dynamics of risk functions and the evolving role of group CROs.
For more information, please visit our website: http://www.ey.com/GL/en/Industries/Financial-Services/Insurance/ey-insurance-cro-surveys-findings-from-europe-us
Under cyber attack: EY's Global information security survey 2013EY
Under cyber-attack, EY's 16th annual Global Information Security Survey 2013 tracks the level of awareness and action by companies in response to cyber threats and canvases the opinion of over 1,900 senior executives globally. This year’s results show that as companies continue to invest heavily to protect themselves against cyber-attacks, the number of security breaches is on the rise and it is no longer of question of if, but when, a company will be the target of an attack.
For further information, visit: http://www.ey.com/GL/en/Services/Advisory/Cyber-security
Big risks require big data thinking, Global Forensic Data Analytics Survey 2014EY
This presentation is based on EY FIDS' report on Forensic Data Analytics and comprises global as well as India findings.
For further information, please visit: http://www.ey.com/FIDS
EY Global Capital Confidence Barometer (12th Edition)EY
Innovation, complexity and disruption define the new M&A market.
Our 12th Global Capital Confidence Barometer finds the global M&A market maintaining the positive momentum that developed during 2014. For the first time in five years, more than half our respondents are planning acquisitions in the next 12 months, as deal pipelines continue to expand.
Bibby Financial Services Global Business Monitor 2017Chinmay Javeri
The Global Business Monitor is an international survey of over 1,600 SMEs across the U.S., Republic of Ireland, United Kingdom, Germany, Poland, Canada, Czech Republic, France, Netherlands, Singapore and Hong Kong.
2015 European Insurance CRO survey – Findings and key themesEY
Get insights about the current state and changing dynamics of risk functions and the evolving role of group CROs.
For more information, please visit our website: http://www.ey.com/GL/en/Industries/Financial-Services/Insurance/ey-insurance-cro-surveys-findings-from-europe-us
Under cyber attack: EY's Global information security survey 2013EY
Under cyber-attack, EY's 16th annual Global Information Security Survey 2013 tracks the level of awareness and action by companies in response to cyber threats and canvases the opinion of over 1,900 senior executives globally. This year’s results show that as companies continue to invest heavily to protect themselves against cyber-attacks, the number of security breaches is on the rise and it is no longer of question of if, but when, a company will be the target of an attack.
For further information, visit: http://www.ey.com/GL/en/Services/Advisory/Cyber-security
Big risks require big data thinking, Global Forensic Data Analytics Survey 2014EY
This presentation is based on EY FIDS' report on Forensic Data Analytics and comprises global as well as India findings.
For further information, please visit: http://www.ey.com/FIDS
EY Global Capital Confidence Barometer (12th Edition)EY
Innovation, complexity and disruption define the new M&A market.
Our 12th Global Capital Confidence Barometer finds the global M&A market maintaining the positive momentum that developed during 2014. For the first time in five years, more than half our respondents are planning acquisitions in the next 12 months, as deal pipelines continue to expand.
Eight years after the global financial crisis triggered a slate of new rules and regulations, a Brunswick Group survey of 2,039 respondents from four countries finds continuing deep skepticism across the globe about the benefits of big banks and the effectiveness of financial regulation.
Key findings:
Eight years post-crisis, anxiety persists
Regulation attractive but not impactful
Desire for smaller, local banks but also multiple services
Uncertain implications of Brexit
John Gutfranski, CFP, AIF, CRPC & Debra White Stephens, CFP – Proactive Advis...Proactive Advisor Magazine
John Gutfranski & Debra White Stephens • Cetera Advisor Networks LLC
- Is modern portfolio theory seriously flawed? by Linda Ferentchak
- Budget deficit on track for six-year low
- Three approaches to client acquisition (Chuck Bigbie, Geneos Wealth Management)
Pwc 2015 Technology Sector Sec Comment Letter TrendsPwC
PwC's technology industry publication provides a comprehensive analysis of recent SEC staff comments and disclosures to assist you in understanding the key trends relevant to companies in the technology sector.
Perceptions of Chinese businesses going globalBrunswick Group
In 2016, China has surpassed all other countries in cross-border M&A. Yet, this unprecedented level of investment is not without its challenges. Nearly one in ten attempted acquisitions by Chinese companies fail.
In Brunswick’s report, “Deals, Dreams & Doubts,” we go beyond the traditional deal volume and deal value data to understand the perceptions of those with a stake in Chinese outbound investment from Chinese business leaders to opinion elites. We surveyed 1,600 top decision makers in China and three of the top markets for Chinese outbound investment – the United States, the United Kingdom and Germany – to gain an insight into what drives the decision to invest and what impacts the decision to approve or reject investments by Chinese companies.
Agro-Sense: A Cloud-Enabled Mobile App for Efficient Farming System using WSNsijsrd.com
Agro-Sense: A cloud-enabled mobile app plays an important role in improving farming activities. This paper focuses on using cloud computing and Wireless Sensors Network (WSNs) technology to enhance the application and its benefits to the field of agriculture. The paper focuses on the Cloud Database which gives details of past agriculture work records of farmers. The farmers who have inculcated the system and installed the application on their Smartphones can register the application on their Smartphones can register, so that they can access as well as upload the data stored on the server and use the system efficiently. Light, Temperature, and Humidity and Soil moisture will be the various WSNs used. The main activities of the sensors are to sense and measure the environmental data from the fields. The farmer will get the notifications of condition in his field by these sensors. When the water level in the field reduces, the farmer will get notification, so that he can switch ON the motor through his Smartphone. The motor will get switched OFF automatically when the sufficient water supply is provided in the farm up to the threshold value. The main objective is to optimize the efforts and time of farmer and perform efficient farming to increase productivity.
Recent Developments in Routing Algorithms for Achieving Elongated Life in WSNijsrd.com
Battery life is a key issue for an elongated life in WSN. Clustering of nodes is done to achieve the energy conservation in LEACH algorithm. The main objectives of clustering are equal distribution of energy and equal distribution of nodes in space so that less energy is consumed and early deaths of nodes can be delayed. In LEACH both of these objectives can’t be achieved. Further Max-Energy LEACH is able to achieve energy equi-distribution but not the space equi-distribution because CH can be selected from one region only leading to large energy consumption by nodes to send data to CHs. The clustering algorithm while doing its work should pay attention toward the number of nodes a cluster is having. If we can equi-distribute all nodes to cluster then we assume that it may lead to better energy efficiency. This paper discusses the recent developments in WSN in this direction.
Eight years after the global financial crisis triggered a slate of new rules and regulations, a Brunswick Group survey of 2,039 respondents from four countries finds continuing deep skepticism across the globe about the benefits of big banks and the effectiveness of financial regulation.
Key findings:
Eight years post-crisis, anxiety persists
Regulation attractive but not impactful
Desire for smaller, local banks but also multiple services
Uncertain implications of Brexit
John Gutfranski, CFP, AIF, CRPC & Debra White Stephens, CFP – Proactive Advis...Proactive Advisor Magazine
John Gutfranski & Debra White Stephens • Cetera Advisor Networks LLC
- Is modern portfolio theory seriously flawed? by Linda Ferentchak
- Budget deficit on track for six-year low
- Three approaches to client acquisition (Chuck Bigbie, Geneos Wealth Management)
Pwc 2015 Technology Sector Sec Comment Letter TrendsPwC
PwC's technology industry publication provides a comprehensive analysis of recent SEC staff comments and disclosures to assist you in understanding the key trends relevant to companies in the technology sector.
Perceptions of Chinese businesses going globalBrunswick Group
In 2016, China has surpassed all other countries in cross-border M&A. Yet, this unprecedented level of investment is not without its challenges. Nearly one in ten attempted acquisitions by Chinese companies fail.
In Brunswick’s report, “Deals, Dreams & Doubts,” we go beyond the traditional deal volume and deal value data to understand the perceptions of those with a stake in Chinese outbound investment from Chinese business leaders to opinion elites. We surveyed 1,600 top decision makers in China and three of the top markets for Chinese outbound investment – the United States, the United Kingdom and Germany – to gain an insight into what drives the decision to invest and what impacts the decision to approve or reject investments by Chinese companies.
Agro-Sense: A Cloud-Enabled Mobile App for Efficient Farming System using WSNsijsrd.com
Agro-Sense: A cloud-enabled mobile app plays an important role in improving farming activities. This paper focuses on using cloud computing and Wireless Sensors Network (WSNs) technology to enhance the application and its benefits to the field of agriculture. The paper focuses on the Cloud Database which gives details of past agriculture work records of farmers. The farmers who have inculcated the system and installed the application on their Smartphones can register the application on their Smartphones can register, so that they can access as well as upload the data stored on the server and use the system efficiently. Light, Temperature, and Humidity and Soil moisture will be the various WSNs used. The main activities of the sensors are to sense and measure the environmental data from the fields. The farmer will get the notifications of condition in his field by these sensors. When the water level in the field reduces, the farmer will get notification, so that he can switch ON the motor through his Smartphone. The motor will get switched OFF automatically when the sufficient water supply is provided in the farm up to the threshold value. The main objective is to optimize the efforts and time of farmer and perform efficient farming to increase productivity.
Recent Developments in Routing Algorithms for Achieving Elongated Life in WSNijsrd.com
Battery life is a key issue for an elongated life in WSN. Clustering of nodes is done to achieve the energy conservation in LEACH algorithm. The main objectives of clustering are equal distribution of energy and equal distribution of nodes in space so that less energy is consumed and early deaths of nodes can be delayed. In LEACH both of these objectives can’t be achieved. Further Max-Energy LEACH is able to achieve energy equi-distribution but not the space equi-distribution because CH can be selected from one region only leading to large energy consumption by nodes to send data to CHs. The clustering algorithm while doing its work should pay attention toward the number of nodes a cluster is having. If we can equi-distribute all nodes to cluster then we assume that it may lead to better energy efficiency. This paper discusses the recent developments in WSN in this direction.
Chapter summary and solutions to end-of-chapter exercises for "Data Visualization: Principles and Practice" book by Alexandru C. Telea
We presented a number of fundamental methods for visualizing scalar data: color mapping, contouring, slicing, and height plots. Color mapping assigns a color as a function of the scalar value at each point of a given domain. Contouring displays all points within a given two- or three-dimensional domain that have a given scalar value. Height plots deform the scalar dataset domain in a given direction as a function of the scalar data. The main advantages of these techniques are that they produce intuitive results, easily understood by users, and they are simple to implement. However, such techniques also have s number of restrictions.
Comparative study of evaluation of evapotranspiration methods and calculation...eSAT Journals
Abstract
Accurate estimation of evapotranspiration is necessary step in water resources management. Evapotranspiration varies spatially and temporally. Recently, the Food and Agricultural Organisation has suggested FAO-56 PM method (modified PM method) as a standard method for calculating reference evapotranspiration (ET0), because this method is applicable to all types of season and different climates and gives more accurate result when compared with the physical methods like Lysimeter and Class A Pan. FAO-56 PM method cannot be debated by any other old methods which require less data for calculating ET0. But FAO-56 PM requires very large amount of meteorological data, which is not available at full climate stations. So there is need to find out the next best suitable method after FAO-56 PM method, which will give ETo results nearer to FAO-56 PM method. Here seven different methods are considered for present study, which are radiation based, temperature based and combine parameters based (FAO-56 modified Penman Monteith, FAO-24 Penman Monteith, FAO-56 Hargreaves, Turc, Thornthwaite, Blaney-Criddle, Priestley Taylor are the methods). Chaskaman dam and its left bank canal is selected for this project. The objective of the project work is to calculate daily, monthly and yearly reference ET0 using modified PM equations for ‘left bank canal of Chaskaman dam and its command area’. Further ETc (crop evapotranspiration/crop water requirement) will be calculated for that command area.
Keywords - Penman Monteith, Hargreaves, Turc, Thornthwaite, Blaney- Criddle, Priestley Taylor, evapotranspiration, crop water requirements
More than half of senior retail, commercial and investment bankers say they lack sufficient data to support robust risk management. This report, sponsored by SAP, looks at how banks are using Big Data to improve risk management and compliance performance. Find out more and watch video: http://bit.ly/RComp1
Nuestro informe Global Risk Landscape 2016 revela que el 87% de los líderes empresariales consideran que
el mundo se ha convertido en un lugar con mayor riesgo. Para la realización de este estudio, que se inició a
comienzos de 2016, BDO ha consultado a 500 altos directivos de las principales empresas de 44 países de
Europa, Oriente Medio, África, Asia y América acerca de lo que consideran que son los mayores riesgos a los que
enfrentan sus empresas en la actualidad y en el futuro.
Para más de la mitad (56 %) de los líderes empresariales encuestados, la mayor amenaza es el aumento
de la competencia, seguida por la desaceleración económica (43%) y la interrupción del negocio (42 %).
La mitigación del riesgo se ha convertido en una cuestión primordial para la mayor parte de las empresas
consultadas, mientras que la creación de valor es visto como el mayor desafío global del futuro.
Exploring the Impact of Data science In financeSandra845904
Data science is transforming traditional approaches to decision-making in the financial industry. Financial institutions recognize the potential of data science to drive innovation, optimize processes, and gain a competitive edge. With diverse applications, such as predicting market trends, mitigating risks, and personalizing financial services, data science is key to uncovering new opportunities and staying ahead in an ever-evolving economic landscape. Join us on this exploration of Data Science in Finance.
How Can You Drive Opportunity If You Cannot Manage Risk?Lora Cecere
Report Details: The research for this report was conducted via an online survey from March 12 - May 11, 2018. Surveys were conducted among 93 respondents -- a mix of business users (manufacturers, wholesalers/distributors/co-operatives, and third-party logistics providers, n=34), vendors (software providers and consultants, n=39), and others (academics, analysts, unemployed, and others, n=20).
Objective: To understand the current and expected future state of supply chain risk management, the biggest drivers of risk, and the impact on supply chain disruptions. NOTE: supply chain risk management is defined as the proactive identification and assessment of potential risks to the supply chain, as well as the development of strategies to avoid these risks.
Highlight: Nearly two-thirds of respondents believe that their company performs better today on risk management practices than five years ago yet they had 3.5 disruptions last year on average. Managing risk requires a network approach. Today’s investments in end-to-end supply chain are by and large not effective in risk mitigation. Only 37% have visibility of extended-tier suppliers and most lack the solutions to manage global complexity.
Since the onset of the global financial crisis in 2008, businesses around the world have faced a barrage of new risk-related challenges.
The macroeconomic environment of recent years, marked by the global financial crisis, fiscal uncertainty in the US and sovereign debt problems in Europe, has also helped to make companies more riskaverse, leading them to swap bold investment decisions for more cautious behaviour and cash hoarding. The tide is turning, however, with most expecting 2014 to mark a return to growth...
Всемирный обзор экономических преступлений за 2016 годPwC Russia
В рамках подготовки Всемирного обзора экономических преступлений PwC за 2016 год было опрошено более 6 000 участников из 115 стран. Несмотря на незначительное общее снижение количества зарегистрированных экономических преступлений, финансовая стоимость каждого отдельного мошеннического действия увеличивается. Четырнадцать процентов респондентов столкнулись с убытками на сумму более 1 млн долл. США за последние два года.
Is Risk Management today only about Managing Risk_
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Is Risk Management today only about Managing
Risk?
India Infoline News Service | Mumbai | March 10, 2016 13:01 IST
With increasing levels of economic volatility and global interconnectivity, a “good” economy can turn
“bad” much more quickly today than 25 years ago. Globalised economies enable companies in one
country to tap into markets in other countries, thereby reducing their exposure to local factors and
reducing point failures. However the very same interconnections also create issues where a strong local
economy does not guarantee the strength of the companies based in that economy. As per data from S&P
Dow Jones Indices, Foreign sales account for more than 40% of the total S&P 500 turnover, with 261
companies in the index tallying more than 15 per cent of their revenues outside of the United States. As a
healthy financial services sector is vital to a functioning economy it is little wonder that banks are
mandated to comply with such a wide range of global standards and frameworks, including Basel III,
which focuses on market, credit and operational risks.
The cost of compliance continues to rise. In 2013 HSBC reported that it was going to more than double
the number of people in compliance to 5,000 – a figure which has now increased to 7,000. In 2014
Deutsche Bank reported EUR1.3b in extra regulatoryrelated spending of which 400m was related to
additional staff. In 2015 Citigroup reported that about half of the bank’s $3.4b efficiency savings were
being ‘consumed by additional investments’ in regulatory and compliance activities. So what are the
banks getting for all this additional investment?
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With increased focus on riskreturn tradeoffs, risk management in banks has changed from a compliance
driven role to a business strategy defining function. In a recent study grading companies on efficient risk
management, the top 20 percent organizations were found to perform three times better on earnings
before interest, taxes, depreciation and amortization (EBITDA) than the bottom 20%. So how can
financial institutions make their risk management practice more efficient? The whitepaper aims to
highlight the key aspects of traditional enterprise risk management and how the use of analytics, can
improve the effectiveness of any risk management program by enhancing credit quality, improving credit
decisioning and enabling a 360 degree view of customer.
The Cornerstone for Effective Risk Management
Defining a multidimensional Enterprise Risk Management (ERM) framework is the cornerstone for
effective risk management. The Committee of Sponsoring Organizations of the Treadway Commission
(COSO) established an integrated framework to help banks derive business value while meeting
compliance requirements. In alignment with the framework, it is imperative that banks focus on the key
issues that form the crux for ERM.
Risk Culture
Is the set of norms and traditions that govern the behaviour of the individuals and groups of an entity to
determine how risks are identified, understood and responded. It is about being aware of ethics, best
practices and the risk appetite of the organization. In the EY report, “Shifting focus: Risk Culture at the
forefront of the banking”, 61% of the banks have aligned their risk appetite by changing their risk culture
while 74% of them termed enhanced communication of risk values to be one of the top initiatives to
strengthen the risk culture.
Risk appetite
Is the amount of risk that the firm is willing to accept in pursuit of its goals and objectives. It is
determined by the kind of risks the bank will take or accept in differing contexts. Further, risk appetite
statements with topdown or bottomup collaboration and defined metrics are crucial for embedding the
risk appetite throughout the organization. They would help in monitoring the performance of the business
groups or portfolios.
Stress Testing and Capital Management
Although stress testing is a regulatory mandate for capital planning, it can also assist the bank’s top
management in assessing the business model‘s sustainability towards market volatility and as a tool for
the strategic decision making. There is a growing necessity to refine stress testing to improve balance
sheet and P&L forecasting under different scenarios. Centralized testing models are the need of the hour
with the integration of bank’s risk and finance functions.
Risk Assessment & Reporting
This lies at the heart of the risk management framework that helps banks align their business objectives
with the risk appetite or what experts term as “embedding the risk”. There are businessintelligence tools
that provide insights into the risk profile of the banks Regulatory mandates like Basel ensure that banks
are aware of and deal with the conventional risks. However, in order to have a holistic view of the bank’s
risk, some of the nonfinancial risks like reputational risk should also be considered. In addition, the
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risk, some of the nonfinancial risks like reputational risk should also be considered. In addition, the
methodologies and the approaches adopted by the banks should neither succumb to the regulatory
pressure nor should they overly rely on backward looking models. Forward looking approaches by
considering varied scenarios help banks in being prepared for contingencies. It provides a total
understanding of the top risk drivers and throws light at the root causes and early warning signals.
Evolution of Predictive Analytics
With the exponential growth and availability of data, both structured and unstructured, big data comes
into the picture and can be combined with historical transactional data to uncover new opportunities.
CROs across the globe are looking to use structured and unstructured data to make accurate risk
predictions along with understanding the potential impact of a range of risks. They are also looking at
linking them better to the organization’s strategy. Currently, there are several challenges impeding the
banks from applying ERM effectively. For instance, extracting and aggregating data continues to be the
top challenge in improving stress testing. Credible risks quite often go unnoticed. The intrinsic
challenges in risk management necessitate a more cohesive ERM solutionsomething can be made
possible with the usage of risk analytics. While analytics previously was synonymous with business
intelligence, today the level of sophistication has increased with more focus on data exploration,
segmentation, statistical clustering, predictive modelling and event simulation & scenario analysis
leading to better insights. By embedding predictive analytics into the ERM delivery approach,
organizations can monitor performance through risk sensitivity analysis, model key risk events scenarios,
and become more risk intelligent in developing intervention and mitigation strategies. It helps the bank
chart the best course of action for the future. Pricing decisions can be made by the use of analytics
thereby giving a deeper understanding of risks. The bank can also use analytics to fight against credit risk
and manage their portfolios optimally.
Driving Effective Risk Management in Financial
Organizations
Enhancing Credit Quality
With deteriorating credit quality, addressing credit risk primarily due to default has become the top
most priority for the banks. This has resulted in an increased focus on internal stress testing over the past
12 months. Traditionally, banks rely heavily on the credit bureau’s score for making a loan decision or,
in the absence of a credit bureau, on internal scoring models. However, scoring models from credit
bureaus and internal scoring models are based on the historical credit profile of the borrower which may
not accurately reflect the current situation and therefore might not help the underwriter make an informed
decision. This may lead to turning down potential clients which reduces profits and may damage the
bank’s reputation. On the other hand, accepting nonworthy businesses will make matters worse by
creating future Non Performing Loans.
Improving Credit Decisioning
In credit risk modelling, scoring models are developed using stateoftheart statistical techniques and
data aggregation from the bank’s archives. Predictive Analyticsbased scorecards allow the bank to
rapidly identify which loans should to be approved, which loans should be rejected and which loans
should be subject to further investigation. The decision process for loan approval or rejection becomes
more robust by devising a decision map using both the model score and the score from the credit bureau.
Enabling a 360o View of Customer
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Consider a customer who has a medium Credit Bureau score as well as a medium risk model score. His
case, by default, falls into the Refer/on hold bucket of the business risk strategy map created using
statistical scoring models. In such a case, the underwriter usually sends the application for further field
investigation leading to increase in time and costs. In the meantime the customer may decide to take loan
from some other bank and thereby the first bank loses a potential good customer.
By combining big data and highpowered analytics, it is possible to:
Create a unified view of the customer covering all his/her touch points including web crawling data, call
centre interactions, social media activities, branch interactions etc.
Recalculate entire risk portfolios in minutes
Quickly identify valuable customers
Detect fraudulent behaviour using clickstream analysis and text mining
By leveraging big data in the underwriter decision making stage, the decisions for refer/on hold
applications can be made after analysing the current behavioural and risk patterns of the customer. The
amount of investigations for on hold applications is reduced thus bringing down the time and costs
involved and freeing up people to focus on more important activities. In addition, fraudulent customers
can be detected easily as well.
The Rise of Social: More Data More Insights
Social media has changed the way people interact and firms across the globe are trying to leverage social
data in their efforts to stay ahead of competition. Social Network Analysis (SNA) (Exhibit 7) includes
pattern analysis and network linkage analysis to uncover the large amount of data that can be linked to
show relationships. To gain customer insights, one looks for clusters and how those clusters are linked
with the other clusters. Public records such as social media behaviour, address change frequency,
criminal records and foreclosures are all data sources that can be integrated into the model.
This will generate many insights at the time of underwriting and therefore the credit decision process can
be enhanced substantially. By integrating this with transactional systems, even fraud risks can be
mitigated in real time. Exhibit 8 shows the mechanism of risk modelling with SNA.
While some banks have begun to see real benefits of these enormous data sources, many are still working
in isolated silos. Others, while having a multidimensional and integrated ERM framework, are still not
utilizing predictive analytics at the optimal level. With the exponential growth and availability of data,
banks can gain a strategic advantage by using predictive analytics to make improved risk predictions that
are better aligned to current and future economic conditions, and hence quickly adjust to dynamic market
conditions and steer their portfolios through uncertain times.
How can Nucleus Help?
Nucleus Lending Analytics is designed to provide comprehensive business insight into credit risk
management of banks and other financial institutions. The solution uses sophisticated credit scoring
models to allow credit risk managers and credit analysts create predictive scorecards. It also incorporates
defined metrics that provide a unified view of customers across lines of businesses and channels. The
solution focuses on the three key tenets of efficient risk management in lending: Informed Decisioning,
Enhanced Portfolio Management and Fraud.
About the Authors