This document discusses fraud and risk in the context of big data. It begins by defining big data and providing examples of how large companies like Walmart and Facebook handle massive amounts of data daily. It then discusses different types of fraud that can occur, such as credit card fraud and fraud on social media. Finally, it discusses risk management and how credit and market risk analytics are used to analyze past data to predict future risks. In summary, the document outlines the opportunities and challenges of using big data for fraud detection and risk management.
Microdecision Making in Financial Services - Greg Lamp @ PAPIs ConnectPAPIs.io
Fintech startups are taking business away from traditional institutions like banks, exchanges, and brokerages. One of the reasons that these startups are able to compete with $30B+ behemoths like Credit Suisse and Goldman Sachs is their advanced decision making capabilities. By leveraging new data sources and better predictive analytics, companies like Ferratum Bank can make more accurate decisions in a fraction of the time.
This talk will cover:
Types of decisions you can automate
Challenges in building predictive, financial apps
First-hand, real-world examples
Greg Lamp is the co-Founder and CTO of Yhat. In this role, Greg leads development of Yhat's core products and infrastructure and is the principal architect of the company's cloud and on-premise enterprise software applications. Greg was previously a product manager at OnDeck, a fintech startup in New York and before that an analyst at comScore. Greg is a graduate of the University of Virginia.
FraudDECK includes pre-packaged business workflows for transaction surveillance across ATM & POS channels. It can be extended to facilitate surveillance of fraudulent transactions on other channels like mobile banking or payment transactions like Wire fraud or AML. For more information please visit: http://www.esq.com/transaction-surveillance/
Digital Transformation of U.S. Private BankingCognizant
U.S. private banks need to rethink their business models and accelerate their push to meet the ever-rising expectations of digitally savvy high-net-worth clients.
Dear Delegates,
Corporate fraud costs businesses hundreds of millions of dollars each year. It affects livelihoods and is a common
cause of corporate failure. It is the responsibility of the board of directors to prevent fraud by putting in places the
appropriate controls and review procedures. This program shows you why Accounting Information System (AIS)
Threats are ever increasing. Control risks have also increased in the last few years because there are computers
and servers everywhere, and information is available to an unprecedented number of workers. Distributed
computer networks make data available to many users, and these networks are harder to control than centralized
mainframe systems. With the introduction of 3 levels of COSO and value driven ERM, things should be under
control. Recent events at SATYAM proves that in reality things are getting out of control. So, what went wrong ?
Is it time to train the auditors ?
Recognising the challenges that organisations are facing in combating Fraud, CSI In Practice is pleased to present
this 2-days Workshop on Enterprise Fraud Risk Management. This will serve as an excellent opportunity to learn how
best to conduct an internal investigation to protect your organization and step up on controls to deter fraud.
Best Hadoop Institutes : kelly tecnologies is the best Hadoop training Institute in Bangalore.Providing hadoop courses by realtime faculty in Bangalore.
Artificial intelligence in financial sector converted (1)emmaelice
Artificial intelligence has given the financial industry as an entire way to meet the needs of customers who prefer smarter, safer ways to access, spend, shop and make investments their money. Here are some of the examples of AI in finance.
Ten Commandments for Tackling Fraud: The Role of Big Data and Predictive Anal...CA Technologies
Accurate enterprise-wide data combined with data-driven fraud analytics can have a transformational effect on banking and related industries. This presentation provides tips and insights on using technologies like neural network predictive modeling, user behavior-based pattern recognition and statistical big data analytics to reduce the risk of fraudulent activities in the enterprise.
For more information on CA Security solutions, please visit: http://bit.ly/10WHYDm
This document discusses fraud and risk in the context of big data. It begins by defining big data and providing examples of how large companies like Walmart and Facebook handle massive amounts of data daily. It then discusses different types of fraud that can occur, such as credit card fraud and fraud on social media. Finally, it discusses risk management and how credit and market risk analytics are used to analyze past data to predict future risks. In summary, the document outlines the opportunities and challenges of using big data for fraud detection and risk management.
Microdecision Making in Financial Services - Greg Lamp @ PAPIs ConnectPAPIs.io
Fintech startups are taking business away from traditional institutions like banks, exchanges, and brokerages. One of the reasons that these startups are able to compete with $30B+ behemoths like Credit Suisse and Goldman Sachs is their advanced decision making capabilities. By leveraging new data sources and better predictive analytics, companies like Ferratum Bank can make more accurate decisions in a fraction of the time.
This talk will cover:
Types of decisions you can automate
Challenges in building predictive, financial apps
First-hand, real-world examples
Greg Lamp is the co-Founder and CTO of Yhat. In this role, Greg leads development of Yhat's core products and infrastructure and is the principal architect of the company's cloud and on-premise enterprise software applications. Greg was previously a product manager at OnDeck, a fintech startup in New York and before that an analyst at comScore. Greg is a graduate of the University of Virginia.
FraudDECK includes pre-packaged business workflows for transaction surveillance across ATM & POS channels. It can be extended to facilitate surveillance of fraudulent transactions on other channels like mobile banking or payment transactions like Wire fraud or AML. For more information please visit: http://www.esq.com/transaction-surveillance/
Digital Transformation of U.S. Private BankingCognizant
U.S. private banks need to rethink their business models and accelerate their push to meet the ever-rising expectations of digitally savvy high-net-worth clients.
Dear Delegates,
Corporate fraud costs businesses hundreds of millions of dollars each year. It affects livelihoods and is a common
cause of corporate failure. It is the responsibility of the board of directors to prevent fraud by putting in places the
appropriate controls and review procedures. This program shows you why Accounting Information System (AIS)
Threats are ever increasing. Control risks have also increased in the last few years because there are computers
and servers everywhere, and information is available to an unprecedented number of workers. Distributed
computer networks make data available to many users, and these networks are harder to control than centralized
mainframe systems. With the introduction of 3 levels of COSO and value driven ERM, things should be under
control. Recent events at SATYAM proves that in reality things are getting out of control. So, what went wrong ?
Is it time to train the auditors ?
Recognising the challenges that organisations are facing in combating Fraud, CSI In Practice is pleased to present
this 2-days Workshop on Enterprise Fraud Risk Management. This will serve as an excellent opportunity to learn how
best to conduct an internal investigation to protect your organization and step up on controls to deter fraud.
Best Hadoop Institutes : kelly tecnologies is the best Hadoop training Institute in Bangalore.Providing hadoop courses by realtime faculty in Bangalore.
Artificial intelligence in financial sector converted (1)emmaelice
Artificial intelligence has given the financial industry as an entire way to meet the needs of customers who prefer smarter, safer ways to access, spend, shop and make investments their money. Here are some of the examples of AI in finance.
Ten Commandments for Tackling Fraud: The Role of Big Data and Predictive Anal...CA Technologies
Accurate enterprise-wide data combined with data-driven fraud analytics can have a transformational effect on banking and related industries. This presentation provides tips and insights on using technologies like neural network predictive modeling, user behavior-based pattern recognition and statistical big data analytics to reduce the risk of fraudulent activities in the enterprise.
For more information on CA Security solutions, please visit: http://bit.ly/10WHYDm
Enterprise Fraud Management: How Banks Need to AdaptCapgemini
Fraud prevention is becoming one of the biggest areas of concern for the financial services industry. But first generation Fraud Management systems are falling short. By moving towards more enterprise approach to fraud management, financial institutions can combat the increasingly treacherous fraud and cyber crime landscape while reaping numerous benefits for the organization.
Ibm financial crime management solution 3Sunny Fei
The document discusses IBM's financial crime management solution which uses an integrated platform to help banks prevent and manage financial crime more effectively. It analyzes real-time transaction data using customized rules to detect potential fraud cases and monitor high-risk activities. When issues are identified, cases are created and investigators can collaborate to investigate further and take appropriate actions. The solution aims to help banks address the growing challenges of financial crime and optimize fraud prevention.
Money laundering has subjected financial institutions to losses and subjected them to punishments and fines from law/regulation bodies. Sometimes banks may fail to notice that fraudulent practices are happening in their facilities. So how can banks detect and prevent money laundering and fraud?
BBD Seminar - Dr.Pu - Financial Solution for SME v10bbdservice
1) The document discusses challenges that small and medium-sized enterprises (SMEs) face in obtaining financing from traditional sources like banks due to issues with credit assessments.
2) It describes how big data from online sources can help improve credit risk evaluations of SMEs by providing more timely, extensive data beyond just financial statements.
3) Several innovative applications that use big data analytics to evaluate SME credit risks are highlighted, including macro-monitoring tools, dynamic due diligence solutions, and customizable rating models tailored for specific banks.
Empowering the financial institutions with machine learning9 series
The document discusses how machine learning can benefit financial institutions in several key areas:
1. Underwriting and trading can be improved through analyzing customer behavior and past market performance to make more accurate credit assessments and automated trading decisions.
2. Management and forecasting is enhanced with machine learning's ability to gain insights from big data and predict future growth, industry trends, and calibrate portfolios based on changing goals and market conditions.
3. Prevention and security are strengthened as machine learning can efficiently detect fraud and anomalies in large datasets with higher precision than humans alone.
4. Marketing and analysis is augmented with predictive analysis of past behaviors and responses to tailor effective marketing strategies.
5. Automation of
5 AI Solutions Every Chief Risk Officer NeedsAlisa Karybina
For the risk manager, AI means greater efficiency, lower costs, and less risk. There are many potential applications of AI when it comes to managing risk in banking, but this report will focus on five key solutions with huge potential ROI that every chief risk officer (CRO) can begin building immediately. Representing foundational capabilities for risk management, these five solutions have the potential to substantially impact a bank’s financial results, and an automated machine learning platform represents the most efficient and effective method of delivering on the promise of these AI use cases.
From underwriting to marketing and managing risk, and every business function in between, big data is valuable and integral to your commercial success. Experian’s latest technology innovation levels the playing field and fills the gaps in your data across all facets of your organization
This document discusses strategies for managing supplier risk. It recommends using commercial credit reports and monitoring tools, which are similar to those used for receivables management. A three-step process is outlined: 1) Determine information needs about suppliers' financial stability and ability to meet commitments. 2) Evaluate credit report alternatives based on data coverage, quality and sources. 3) Set up credit monitoring to receive early warnings about supplier financial events that could disrupt the supply chain. Following these steps helps select the right reporting tools for effective supplier risk management.
4 best practices in digitizing mortgage verificationExperian
The journey to a mortgage is complex and expensive, so of course the transaction will require more than a few swipes on a smartphone. Underwriting a sizeable loan can take weeks with the task of collecting income and asset documents to analyze and verify. In fact, one source from the Mortgage Bankers Association says the average mortgage application has ballooned to 500 pages. With advancements in digital verification, lenders can dramatically accelerate the process, providing benefits to both their own operations and the consumer mortgage experience.
Banking & Finance Trends, Predictions, and Practical Steps OHANNIGAN April 2016Joe O'Hannigan
This document discusses trends in the banking and finance industry from 2016 through the future. It identifies 10 key trends, including the merging of retail banking and fintech providers to create new platforms, the use of big data and digital payments, and implementing innovative technologies. It encourages banks to collaborate rather than compete, and provides examples of Goldman Sachs partnering with online banking and ING partnering with Kabbage. The document advocates that banks analyze customer outcomes and make bets on the future to enhance customer experience.
Top Regulatory Insights for Fintechs & Financial InstitutionsExperian
We're breaking down the top regulatory insights you need to understand to prepare your compliance strategy for 2019 and beyond. Covering the latest information on upcoming regulations, including:
- Impact of CECL and how to prepare
- Priorities for the CFPB and House Financial Services Committee
- Must-know details of the Consumer Privacy Act of 2018
The goAML application is a UNODC strategic response to financial crime including money laundering and terrorist financing. The goAML application has been developed by the Information Technology Service of UNODC in partnership with the UNODC Global Programme Against Money Laundering. It is an integrated database and intelligent analysis system intended for use by Financial Intelligence Units worldwide.
http://goaml.unodc.org/goaml/en/index.html
This document discusses how banks are increasingly monitoring and engaging in social media to have conversations with customers, understand feedback, and improve products and services. It provides examples of how Citi and other banks are using tools from vendors like Attensity to track mentions across various social media platforms, analyze sentiment, and even automate responses. While monitoring social media was once limited to PR firms, there are now many specialized tools and platforms that banks can use to join online discussions and apply insights to enhance customer experience and relationships.
Leveraging data, tech and analytics to improve collectionsExperian
The document discusses leveraging data, technology, and analytics to improve debt collections performance. It notes declining right party contact rates and increasing consumer preference for digital interactions. New regulations and rising delinquencies are also creating challenges for collectors. The document advocates using enriched customer data and predictive models to inform automated collections workflows and personalized customer treatments. This would help drive better collections results by focusing on consumer preferences for digital and self-service options.
This document discusses the future of payment cards in light of emerging mobile and social payment technologies. It summarizes the mission of the BayPay Forum to discuss emerging payment trends through events and a professional network. While payment cards still dominate the market, e-commerce volume is growing rapidly alongside new payment options, customer behaviors, and technologies. This presents risks but also an opportunity for payment providers to adapt and improve existing systems for a changing commerce landscape.
The document discusses IBM's Counter Financial Crimes Management solution which uses advanced analytics to help financial institutions combat financial crimes like fraud and money laundering. It provides entity analytics to help banks gain a clearer understanding of their customers, relationships, and hidden patterns. This includes identity resolution to determine who customers really are, relationship resolution to uncover complex relationships, and multilayered analytical processing to evaluate transactional behavior and compliance risks. The solution aims to help banks strengthen their anti-money laundering programs and meet increasing regulatory requirements.
Deloitte Dbriefs Program Guide | April - June 2014Franco Ferrario
Object : Anticipating tomorrow's complex issues and new strategies is a challenge. Stay tuned in with DBRIEFS Llive webcasts that give you valuable insights on important developments affecting your business
Uploaded by Franco Ferrario Technologies Executives ; Deloitte Evangelist
The document discusses a risk management forum that examined challenges for Japanese financial institutions operating in the UK. It summarizes key challenges as the rapid pace of regulatory change, requirements to change operating models, and increased reporting needs. Speakers at the event emphasized the importance of high quality data and flexible risk management systems to address these challenges, enable regulatory compliance, and provide business insights.
With flickery markets, edgy economy, organizational change and the evolving regulatory landscape, the finance divisions are caught up in a fast increase in the amount of public support and changes. All this while, the need for cost cutting and delivering transparent reports stays stable. Rolta’s Financial Analytics solution CFO Impact helps you bring cost effective and sustainable transformations to financial processes and systems with the help of big data analytic technologies.
5 Applications of Data Science in FinTech: The Tech Behind the Booming FinTec...Kavika Roy
https://www.datatobiz.com/blog/data-science-in-fintech/
Data Science has played a significant role in transforming thefinance and banking industry by completely changing the ways in which they previously operated. Life has been made easier for the banking officials as well as the customers. FinTech: a new term coined for the innovation and technology methods aiming to transform traditional methods of finance with data science forming one of its integral components.
Whenever you use your credit card, Amazon Pay, PayPal, or PayTm to make an online payment, the commerce company/seller and your bank, both utilize FinTech to make a successful transaction. With time FinTech has changed almost and every aspect of financial services, which includes investments, insurance, payments, cryptocurrencies, and much more. Fintech companies are heavily dependent on the insights offered by machine learning, artificial intelligence, and predictive analytics to function properly.
CrowsNest is a mystery shopping program developed by Maritz Research to help financial institutions evaluate compliance with consumer protection regulations. Mystery shoppers pose as customers to interact with branches, call centers, and websites before completing evaluations. This identifies compliance issues that can then be addressed through employee training. Online reporting provides stakeholders timely access to results and alerts them to failures. The program aims to help institutions proactively improve compliance, reduce penalties, and strengthen customer experience.
Enterprise Fraud Management: How Banks Need to AdaptCapgemini
Fraud prevention is becoming one of the biggest areas of concern for the financial services industry. But first generation Fraud Management systems are falling short. By moving towards more enterprise approach to fraud management, financial institutions can combat the increasingly treacherous fraud and cyber crime landscape while reaping numerous benefits for the organization.
Ibm financial crime management solution 3Sunny Fei
The document discusses IBM's financial crime management solution which uses an integrated platform to help banks prevent and manage financial crime more effectively. It analyzes real-time transaction data using customized rules to detect potential fraud cases and monitor high-risk activities. When issues are identified, cases are created and investigators can collaborate to investigate further and take appropriate actions. The solution aims to help banks address the growing challenges of financial crime and optimize fraud prevention.
Money laundering has subjected financial institutions to losses and subjected them to punishments and fines from law/regulation bodies. Sometimes banks may fail to notice that fraudulent practices are happening in their facilities. So how can banks detect and prevent money laundering and fraud?
BBD Seminar - Dr.Pu - Financial Solution for SME v10bbdservice
1) The document discusses challenges that small and medium-sized enterprises (SMEs) face in obtaining financing from traditional sources like banks due to issues with credit assessments.
2) It describes how big data from online sources can help improve credit risk evaluations of SMEs by providing more timely, extensive data beyond just financial statements.
3) Several innovative applications that use big data analytics to evaluate SME credit risks are highlighted, including macro-monitoring tools, dynamic due diligence solutions, and customizable rating models tailored for specific banks.
Empowering the financial institutions with machine learning9 series
The document discusses how machine learning can benefit financial institutions in several key areas:
1. Underwriting and trading can be improved through analyzing customer behavior and past market performance to make more accurate credit assessments and automated trading decisions.
2. Management and forecasting is enhanced with machine learning's ability to gain insights from big data and predict future growth, industry trends, and calibrate portfolios based on changing goals and market conditions.
3. Prevention and security are strengthened as machine learning can efficiently detect fraud and anomalies in large datasets with higher precision than humans alone.
4. Marketing and analysis is augmented with predictive analysis of past behaviors and responses to tailor effective marketing strategies.
5. Automation of
5 AI Solutions Every Chief Risk Officer NeedsAlisa Karybina
For the risk manager, AI means greater efficiency, lower costs, and less risk. There are many potential applications of AI when it comes to managing risk in banking, but this report will focus on five key solutions with huge potential ROI that every chief risk officer (CRO) can begin building immediately. Representing foundational capabilities for risk management, these five solutions have the potential to substantially impact a bank’s financial results, and an automated machine learning platform represents the most efficient and effective method of delivering on the promise of these AI use cases.
From underwriting to marketing and managing risk, and every business function in between, big data is valuable and integral to your commercial success. Experian’s latest technology innovation levels the playing field and fills the gaps in your data across all facets of your organization
This document discusses strategies for managing supplier risk. It recommends using commercial credit reports and monitoring tools, which are similar to those used for receivables management. A three-step process is outlined: 1) Determine information needs about suppliers' financial stability and ability to meet commitments. 2) Evaluate credit report alternatives based on data coverage, quality and sources. 3) Set up credit monitoring to receive early warnings about supplier financial events that could disrupt the supply chain. Following these steps helps select the right reporting tools for effective supplier risk management.
4 best practices in digitizing mortgage verificationExperian
The journey to a mortgage is complex and expensive, so of course the transaction will require more than a few swipes on a smartphone. Underwriting a sizeable loan can take weeks with the task of collecting income and asset documents to analyze and verify. In fact, one source from the Mortgage Bankers Association says the average mortgage application has ballooned to 500 pages. With advancements in digital verification, lenders can dramatically accelerate the process, providing benefits to both their own operations and the consumer mortgage experience.
Banking & Finance Trends, Predictions, and Practical Steps OHANNIGAN April 2016Joe O'Hannigan
This document discusses trends in the banking and finance industry from 2016 through the future. It identifies 10 key trends, including the merging of retail banking and fintech providers to create new platforms, the use of big data and digital payments, and implementing innovative technologies. It encourages banks to collaborate rather than compete, and provides examples of Goldman Sachs partnering with online banking and ING partnering with Kabbage. The document advocates that banks analyze customer outcomes and make bets on the future to enhance customer experience.
Top Regulatory Insights for Fintechs & Financial InstitutionsExperian
We're breaking down the top regulatory insights you need to understand to prepare your compliance strategy for 2019 and beyond. Covering the latest information on upcoming regulations, including:
- Impact of CECL and how to prepare
- Priorities for the CFPB and House Financial Services Committee
- Must-know details of the Consumer Privacy Act of 2018
The goAML application is a UNODC strategic response to financial crime including money laundering and terrorist financing. The goAML application has been developed by the Information Technology Service of UNODC in partnership with the UNODC Global Programme Against Money Laundering. It is an integrated database and intelligent analysis system intended for use by Financial Intelligence Units worldwide.
http://goaml.unodc.org/goaml/en/index.html
This document discusses how banks are increasingly monitoring and engaging in social media to have conversations with customers, understand feedback, and improve products and services. It provides examples of how Citi and other banks are using tools from vendors like Attensity to track mentions across various social media platforms, analyze sentiment, and even automate responses. While monitoring social media was once limited to PR firms, there are now many specialized tools and platforms that banks can use to join online discussions and apply insights to enhance customer experience and relationships.
Leveraging data, tech and analytics to improve collectionsExperian
The document discusses leveraging data, technology, and analytics to improve debt collections performance. It notes declining right party contact rates and increasing consumer preference for digital interactions. New regulations and rising delinquencies are also creating challenges for collectors. The document advocates using enriched customer data and predictive models to inform automated collections workflows and personalized customer treatments. This would help drive better collections results by focusing on consumer preferences for digital and self-service options.
This document discusses the future of payment cards in light of emerging mobile and social payment technologies. It summarizes the mission of the BayPay Forum to discuss emerging payment trends through events and a professional network. While payment cards still dominate the market, e-commerce volume is growing rapidly alongside new payment options, customer behaviors, and technologies. This presents risks but also an opportunity for payment providers to adapt and improve existing systems for a changing commerce landscape.
The document discusses IBM's Counter Financial Crimes Management solution which uses advanced analytics to help financial institutions combat financial crimes like fraud and money laundering. It provides entity analytics to help banks gain a clearer understanding of their customers, relationships, and hidden patterns. This includes identity resolution to determine who customers really are, relationship resolution to uncover complex relationships, and multilayered analytical processing to evaluate transactional behavior and compliance risks. The solution aims to help banks strengthen their anti-money laundering programs and meet increasing regulatory requirements.
Deloitte Dbriefs Program Guide | April - June 2014Franco Ferrario
Object : Anticipating tomorrow's complex issues and new strategies is a challenge. Stay tuned in with DBRIEFS Llive webcasts that give you valuable insights on important developments affecting your business
Uploaded by Franco Ferrario Technologies Executives ; Deloitte Evangelist
The document discusses a risk management forum that examined challenges for Japanese financial institutions operating in the UK. It summarizes key challenges as the rapid pace of regulatory change, requirements to change operating models, and increased reporting needs. Speakers at the event emphasized the importance of high quality data and flexible risk management systems to address these challenges, enable regulatory compliance, and provide business insights.
With flickery markets, edgy economy, organizational change and the evolving regulatory landscape, the finance divisions are caught up in a fast increase in the amount of public support and changes. All this while, the need for cost cutting and delivering transparent reports stays stable. Rolta’s Financial Analytics solution CFO Impact helps you bring cost effective and sustainable transformations to financial processes and systems with the help of big data analytic technologies.
5 Applications of Data Science in FinTech: The Tech Behind the Booming FinTec...Kavika Roy
https://www.datatobiz.com/blog/data-science-in-fintech/
Data Science has played a significant role in transforming thefinance and banking industry by completely changing the ways in which they previously operated. Life has been made easier for the banking officials as well as the customers. FinTech: a new term coined for the innovation and technology methods aiming to transform traditional methods of finance with data science forming one of its integral components.
Whenever you use your credit card, Amazon Pay, PayPal, or PayTm to make an online payment, the commerce company/seller and your bank, both utilize FinTech to make a successful transaction. With time FinTech has changed almost and every aspect of financial services, which includes investments, insurance, payments, cryptocurrencies, and much more. Fintech companies are heavily dependent on the insights offered by machine learning, artificial intelligence, and predictive analytics to function properly.
CrowsNest is a mystery shopping program developed by Maritz Research to help financial institutions evaluate compliance with consumer protection regulations. Mystery shoppers pose as customers to interact with branches, call centers, and websites before completing evaluations. This identifies compliance issues that can then be addressed through employee training. Online reporting provides stakeholders timely access to results and alerts them to failures. The program aims to help institutions proactively improve compliance, reduce penalties, and strengthen customer experience.
1) Data management is crucial for financial firms to manage risk and generate returns, but new regulations have increased the amount of data firms must handle.
2) The document discusses challenges financial firms face in data management, including legacy systems, changing a focus to data quality, and establishing consistent data definitions across business units and regulations.
3) Interviewees note key processes like risk management, compliance, and reporting require clean, consistent data without room for error, but data transformations across systems introduce reconciliation issues and inconsistencies.
1. Analytics is increasingly important in the banking industry for applications like risk management, fraud detection, and customer segmentation. Tools like data mining and predictive analytics help banks understand customer behavior and mitigate risks.
2. Analytics supports decision making to increase revenue, reduce costs, and manage risks. This improves customer retention and understanding. Popular analytics tools in banking include R, SAS, and Python.
3. Use cases for banking analytics include customer analytics, fraud analysis, big data analytics, and risk analytics. Analytics provides insights into areas like marketing, compliance, and optimal performance.
Applications of Data Science in Banking and Financial sector.pptxkarnika21
The document summarizes key aspects of the banking domain, including the importance of banking in finance, services provided by banks, risks faced by banks, and applications of data science in solving banking problems. It provides an example of how JP Morgan uses data analytics for fraud detection, predictive analysis, and providing customized experiences. It also discusses challenges in testing banking applications and concludes that data science can help banks improve risk management, customer service, and efficiency.
GRC and Anti-Money Laundering Services.pdfbasilmph
Anti-money laundering services have been a part of compliance activities and processes in financial institutions for a long time. With the complexity and sophistication of the global financial system, anti-money laundering regulations are becoming more important.
New credit reporting tools can help companies manage risk and increase revenue. Several newly enhanced specialized credit reporting products are available from various vendors to minimize risk, reduce bad debt, and expand revenue opportunities. It is important to select reports that fully support business objectives and avoid common pitfalls like relying on self-reported data. The quality and depth of data is crucial, and companies should ask questions about data coverage, predictive accuracy, and data sources to ensure reports will provide useful answers.
Outsourcing business functions has become an accepted approach to improving revenue and creating new business opportunities for companies in all industries; banks are no exception. In the last 10 years, the regulatory environment and consumer expectations for a personalized, connected experience in an increasingly mobile and social world are new challenges being managed by an outsourcing business model. While business growth and regulatory compliance are perhaps the two most critical business drivers behind a financial service firm's decision to outsource, the outsourcing solution itself creates a risk that must be managed and regulatory requirements that must be met.
1) Big data is defined as large volumes of structured and unstructured data that is growing exponentially. It can be analyzed to provide more accurate insights and better decision making.
2) The key aspects of big data are volume, velocity, variety, and variability of data from multiple sources.
3) Companies that effectively analyze big data can improve marketing ROI by 15-20% and increase productivity and profits by 5-6% over peers.
The Smarter Financial Services Industry: Forging a path to smarter financial ...IBMAsean
The document discusses the need for smarter financial services in response to the global financial crisis. It argues that financial institutions must innovate their business models, develop new intelligence from data, achieve integrated risk management, simplify operations, and focus on customers. The document provides examples of how some financial institutions are becoming instrumented, interconnected, and intelligent to restore trust and drive growth.
The document discusses the role of business intelligence in implementing anti-money laundering compliance software according to regulations introduced by the 2001 USA PATRIOT Act. It outlines requirements for financial institutions to establish anti-money laundering programs, conduct customer due diligence and file suspicious activity reports. The objectives are to help banks integrate data across divisions to identify suspicious transactions and comply with directives to prevent money laundering and terrorist financing.
Paul Reuben and Martin Chipperfield, managers at two different banks, discussed their need to find an independent testing house to thoroughly test their banks' anti-money laundering systems and ensure compliance. They both ended up selecting the same vendor, Thinksoft Global Services, who was able to identify defects, help improve data quality, and validate that the systems met regulatory requirements like know-your-customer procedures. The vendor overcame challenges like limited access and timeframe to deliver thorough testing that satisfied both banks.
The document discusses the challenges that asset managers face with know-your-customer (KYC) and anti-money laundering (AML) regulations. It notes that compliance costs have increased, onboarding times have lengthened, and it is difficult to keep large amounts of client data up-to-date. A centralized solution that collects, verifies, and monitors client data could significantly reduce costs for both clients and asset managers by streamlining the onboarding process. The article advocates for standardizing KYC/AML policies across the industry and adopting a centralized model to improve efficiencies and the customer experience.
Foster Moore® prepared a white paper for the recent meeting of the National Association of Secretaries of State (NASS). It looks at the reasons that Secretaries of State might consider when going digital.
C4 provides data integrity services to optimize client infrastructure through initial assessments, ongoing monitoring, and regular reporting. They will conduct an initial assessment of requested SQL servers and databases to identify any issues and create an optimization roadmap. C4 will then provide monthly and weekly reports on server and database health, activities, and jobs to track improvements and identify any new problems. The goal is to maintain optimized systems through ongoing assessments and transparency around progress.
This document is an order from Classic Exhibits Inc. for a client named Heartland Dental. It includes specifications for a 10x20 graphic with dimensions of 66"x30"x40" to be applied as a first surface vinyl graphic to a laminated panel face. It also includes a fabric back wall graphic and greeting counter front graphic with dimensions and attachment instructions using velcro.
Amicus Medical Group is a growing medical organization composed of 12 primary care offices that has implemented Greenway Health's EHR and Greenway Revenue Services Essentials in 8 of its locations so far. This has helped relieve the billing team of repetitive tasks, allowing them to focus on higher value work, and improved billing accuracy. The integrated systems and support from Greenway provide efficiencies and expertise that help Amicus effectively manage its continued growth and acquisitions of new practices.
Greenway Health Dr. Randolph Lamberson Case StudyIdeba
Dr. Randolph Lamberson left a large practice group to open his own small practice. This required new systems for health records, practice management, and billing. He chose Greenway's Intergy EHR software which could be customized for a small practice. Greenway also provided billing services and comprehensive training for Dr. Lamberson and his practice manager Tammy Bentley. The personalized, hands-on training helped them learn to use the new systems efficiently. Both found that the Greenway software and services made their practice more efficient and easier to manage.
Cow Creek Health and Wellness Center serves both Native American and non-native populations through two clinic locations. They implemented Greenway's EHR/practice management solution and Greenway Revenue Services for revenue cycle management to gain better visibility and control over their financial performance. This created a learning partnership where Greenway gained knowledge of tribal health practices and Cow Creek learned revenue cycle processes. Since implementing these solutions, Cow Creek has seen major improvements like increased clean claim rates, faster payments, and reduced days in accounts receivable. The clinic director feels Greenway Revenue Services is now part of their team rather than just a vendor.
A combination of case study and infographic, this piece uses the experience of a specific practice to flesh out both the challenges of the healthcare landscape, and Greenway’s ability to help meet those challenges.
Ideba is very excited to continue our work in Uganda, with a big focus on Summer 2020. In total 40 people, half from the Ideba family, will be cycling through the project over four weeks. While the team has completed many projects at the school over the years, our biggest project yet will be to build out dormitories for 120 students. Our design team created these logo options for this final trip. After a team vote, the final decision is design “I”!
This document lists 13 marketing assets for various medical companies including RS Medical, Ideba, Greenway Health, Fiserv, and Microsoft Medical. The assets include videos, websites, ebooks, infographics, training web pages, LinkedIn graphics, PowerPoint presentations, and event materials promoting topics such as white glove training, rebranding, deposit growth, and HIMSS events.
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
We will explore the transformative journey of American Bath Group as they transitioned from a traditional monolithic CMS to a dynamic, composable martech framework using Kontent.ai. Discover the strategic decisions, challenges, and key benefits realized through adopting a headless CMS approach. Learn how composable business models empower marketers with flexibility, speed, and integration capabilities, ultimately enhancing digital experiences and operational efficiency. This session is essential for marketers looking to understand the practical impacts and advantages of composable technology in today's digital landscape. Join us to gain valuable insights and actionable takeaways from a real-world implementation that redefines the boundaries of marketing technology.
In this humorous and data-heavy session, join us in a joyous celebration of life honoring the long list of SEO tactics and concepts we lost this year. Remember fondly the beautiful time you shared with defunct ideas like link building, keyword cannibalization, search volume as a value indicator, and even our most cherished of friends: the funnel. Make peace with their loss as you embrace a new paradigm for organic content: Pillar-Based Marketing. Along the way, discover that the results that old SEO and all its trappings brought you weren’t really very good at all, actually.
In this respectful and life-affirming service—erm, session—join Ryan Brock (Chief Solution Officer at DemandJump and author of Pillar-Based Marketing: A Data-Driven Methodology for SEO and Content that Actually Works) and leave with:
• Clear and compelling evidence that most legacy SEO metrics and tactics have slim to no impact on SEO outcomes
• A major mindset shift that eliminates most of the metrics and tactics associated with SEO in favor of a single metric that defines and drives organic ranking success
• Practical, step-by-step methodology for choosing SEO pillar topics and publishing content quickly that ranks fast
First Things First: Building and Effective Marketing Strategy
Too many companies (and marketers) jump straight into activation planning without formalizing a marketing strategy. It may seem tedious, but analyzing the mindset of your targeted audiences and identifying the messaging points most likely to resonate with them is time well spent. That process is also a great opportunity for marketers to collaborate with sales leaders and account managers on a galvanized go-to-market approach. I’ll walk you through the methods and tools we use with our clients to ensure campaign success.
Key Takeaways:
-Recognize the critical role of strategy in marketing
-Learn our approach for building an actionable, effective marketing strategy
-Receive templates and guides for developing a marketing strategy
In the face of the news of Google beginning to remove cookies from Chrome (30m users at the time of writing), there’s no longer time for marketers to throw their hands up and say “I didn’t know” or “They won’t go through with it”. Reality check - it has already begun - the time to take action is now. The good news is that there are solutions available and ready for adoption… but for many the race to catch up to the modern internet risks being a messy, confusing scramble to get back to "normal"
What’s “In” and “Out” for ABM in 2024: Plays That Help You Grow and Ones to L...Demandbase
Delve into essential ABM ‘plays' that propel success while identifying and leaving behind tactics that no longer yield results. Led by ABM Experts, Jon Barcellos, Head of Solutions at Postal and Tom Keefe, Principal GTM Expert at Demandbase.
Can you kickstart content marketing when you have a small team or even a team of one? Why yes, you can! Dennis Shiao, founder of marketing agency Attention Retention will detail how to draw insights from subject matter experts (SMEs) and turn them into articles, bylines, blog posts, social media posts and more. He’ll also share tips on content licensing and how to establish a webinar program. Attend this session to learn how to make an impact with content marketing even when you have a small team and limited resources.
Key Takeaways:
- You don't need a large team to start a content marketing program
- A webinar program yields a "one-to-many" approach to content creation
- Use partnerships and licensing to create new content assets
This session will aim to comprehensively review the current state of artificial intelligence techniques for emotional recognition and their potential applications in optimizing digital advertising strategies. Key studies developing AI models for multimodal emotion recognition from videos, images, and neurophysiological signals were analyzed to build content for this session. The session delves deeper into the current challenges, opportunities to help realize the full benefits of emotion AI for personalized digital marketing.
Build marketing products across the customer journey to grow your business and build a relationship with your customer. For example you can build graders, calculators, quizzes, recommendations, chatbots or AR apps. Things like Hubspot's free marketing grader, Moz's site analyzer, VenturePact's mobile app cost calculator, new york times's dialect quiz, Ikea's AR app, L'Oreal's AR app and Nike's fitness apps. All of these examples are free tools that help drive engagement with your brand, build an audience and generate leads for your core business by adding value to a customer during a micro-moment.
Key Takeaways:
Learn how to use specific GPTs to help you Learn how to build your own marketing tools
Generate marketing ideas for your business How to think through and use AI in marketing
How AI changes the marketing game
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
In this dynamic session titled "Future-Proof Like Beyoncé: Syncing Email and Social Media for Iconic Brand Longevity," Carlos Gil, U.S. Brand Evangelist for GetResponse, unveils how to safeguard and elevate your digital marketing strategy. Explore how integrating email marketing with social media can not only increase your brand's reach but also secure its future in the ever-changing digital landscape. Carlos will share invaluable insights on developing a robust email list, leveraging data integration for targeted campaigns, and implementing AI tools to enhance cross-platform engagement. Attendees will learn how to maintain a consistent brand voice across all channels and adapt to platform changes proactively. This session is essential for marketers aiming to diversify their online presence and minimize dependence on any single platform. Join Carlos to discover how to turn social media followers into loyal email subscribers and ultimately, drive sustainable growth and revenue for your brand. By harnessing the best practices and innovative strategies discussed, you will be equipped to navigate the challenges of the digital age, ensuring your brand remains relevant and resonant with your audience, no matter the platform. Don’t miss this opportunity to transform your approach and achieve iconic brand longevity akin to Beyoncé's enduring influence in the entertainment industry.
Key Takeaways:
Integration of Email and Social Media: Understanding how to seamlessly integrate email marketing with social media efforts to expand reach and reinforce brand presence. Building a Robust Email List: Strategies for developing a strong email list that provides a direct line of communication to your audience, independent of social media algorithms. Data Integration for Targeted Campaigns: Leveraging combined data from email and social media to create personalized, targeted marketing campaigns that resonate with the audience. Utilization of AI Tools: Implementing AI and automation tools to enhance efficiency and effectiveness across marketing channels. Consistent Brand Voice Across Platforms: Maintaining a unified brand voice and message across all digital platforms to strengthen brand identity and user trust. Proactive Adaptation to Platform Changes: Staying ahead of social media platform changes and algorithm updates to keep engagement high and interactions meaningful. Conversion of Social Followers to Email Subscribers: Techniques to encourage social media followers to subscribe to email, ensuring a direct and consistent connection. Sustainable Growth and Minimized Platform Dependence: Strategies to diversify digital presence and reduce reliance on any single social media platform, thereby mitigating risks associated with platform volatility.
Are you struggling to differentiate yourself in a saturated market? Do you find it challenging to attract and retain buyers? Learn how to effectively communicate your expertise using a Free Book Funnel designed to address these challenges and attract premium clients. This session will explore how a well-crafted book can be your most effective marketing tool, enhancing your credibility while significantly increasing your leads and sales while decreasing overall lead cost. Unpacking practical steps to create a magnetic book funnel that not only draws in your ideal customers, but also keeps them engaged. Break through the noise in the marketing world and leave with a blueprint that will transform your sales strategy.
The Secret to Engaging Modern Consumers: Journey Mapping and Personalization
In today's digital landscape, understanding the customer's journey and delivering personalized experiences are paramount. This masterclass delves into the art of consumer journey mapping, a powerful technique that visualizes the entire customer experience across touchpoints. Attendees will learn how to create detailed journey maps, identify pain points, and uncover opportunities for optimization. The presentation also explores personalization strategies that leverage data and technology to tailor content, products, and experiences to individual customers. From real-time personalization to predictive analytics, attendees will gain insights into cutting-edge approaches that drive engagement and loyalty.
Key Takeaways:
Current consumer landscape; Steps to mapping an effective consumer journey; Understanding the value of personalization; Integrating mapping and personalization for success; Brands that are getting It right!; Best Practices; Future Trends
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.
Unleash the Power of Storytelling - Win Hearts, Change Minds, Get Results - R...
EAI Checklist
1. Backoffice
IS YOUR ORGANIZATION SUFFERING LOSSES
DUE TO LEGACY BACK OFFICE SYSTEMS?
WHAT ASPECTS OF YOUR OPERATION WOULD BE
MOST BENEFICIAL TO AUTOMATE?3
4 fundamental ways in which digital capabilities can create value:
• Increasing a bank’s connectivity—not just with customers but also with employees and
suppliers. This extends from online interactivity and payment solutions to mobile functionality
and opportunities to boost bank brands in social media.
• Extending and refining decision making. Such analytics are being deployed by the most
innovative banks in many areas, including sales, product design, pricing and underwriting,
and the design of truly amazing customer experiences.
• Straight-through processing—that is, automating and digitizing a number of repetitive,
low-value, and low-risk processes. Process apps, for example, boost productivity and facilitate
regulatory compliance, while imaging and straight-through processing lead to paperless, more
efficient work flows.
• Fostering innovation across products and business models. Examples of this include social
marketing and crowdsourced support, as well as “digitally centered” business models.
90%
of the technology budgets of
North American and European
financial institutions are spent
on managing and maintaining
legacy systems.1
Only 30%
of banks’ executives feel that
their operational processes
can adapt quickly to external
changes.1
“Complexity has grown across every level of the banking
industry. Although banks today already use data to offset that
risk, big data can take their efforts to the next level. Our survey
demonstrates that banks are embracing big data and then
investing in related analytic tools.”2
1 Capgemini, “Banks Cannot Hold Back Any Further on Digitizing the Back Office”
2 Erika Klein, Editor, “Retail Banks and Big Data: Big data as the key to better risk management”
3 McKinsey & Company Insights & Publications, “Strategic choices for banks in the digital age”
2. Compliance
IS YOUR COMPLIANCE DATA SUFFICIENTLY
ACCURATE AND COMPREHENSIVE?
51%
of banking executives cite
insufficient data as greatest
obstacle to better risk
management.1
Only 42%
of banks have faith that they have
the right big data tools to integrate
structured and unstructured data.1
TOP REGULATORY COMPLIANCE CONCERNS
IN FINANCIAL SERVICES3
• USA Patriot Act
Anti-money laundering and provisions to detect and prevent financing of terrorism
• Comprehensive Capital Analysis and Review (CCAR)
Federal Reserve assessment of adequate capitalization
• Financial Industry Regulatory Authority (FINRA)
Multiple rules to ensure transparency
• Consumer Financial Protection Bureau (CFPB)
Part of Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010
• Office of the Comptroller of Currency (OCC)
Regulations for national banks, federally chartered savings associations, federal branches of
foreign banks, and institution-affiliated parties
1 The Economist Intelligence Unit, “Retail Banks and Big Data: Big data as the key to better risk management,” 2014
2 Becca Lipman, “Where Are We Now? The Era of Trade Surveillance Automation,” Information Week WallStreet & Technology,
June 13, 2004
3 Robert Half Management Resources, “5 Top Regulatory Compliance Concerns in Financial Services,” April 15, 2015
“...when you look at the ultimate intelligent trading compliance
approach, it is going to be able monitor, store, and retrieve
trade data, order data, and market data, as well as all relevant
communications from all the disparate systems, both internally and
externally, and then match these things appropriately.”2
3. Anti-Money
Laundering
ARE YOU CONFIDENT THAT YOU ARE MEETING
ALL ANTI-MONEY LAUNDERING REQUIREMENTS?
“…the superintendent of the New York Department of Financial Services,
Benjamin Lawsky, announced recently that his agency is about to propose
a requirement that senior banking executives personally ‘sign off’ on
the ‘adequacy and robustness’ of the anti-money laundering (AML)
compliance programs that their firms use to spot suspicious customer
financial transactions. This requirement would represent a major
escalation of pressure on firms to prevent the types of serious financial
crimes and abuses that have recently received significant attention.”1
– Robert Appleton, Partner, Day Pitney LLP, former Supervisory Assistant U.S. Attorney
AN EFFECTIVE ANTI-MONEY LAUNDERING PROGRAM
MUST BE ROBUST AND COMMENSURATE WITH THE
SIZE AND COMPLEXITY OF THE INSTITUTION2
An effective program requires:
• Ongoing and updated training on BSA/AML and sanctions compliance for all employees
tailored to their specific roles.
• The roles and responsibilities of each employee and the compliance departments clearly
defined and communicated.
• Electronic monitoring integrated, constantly updated with client information, and supervised by
trained staff.
• Periodic independent testing and reviews of the compliance regime and its effectiveness.
• Performing and updating detailed customer due diligence for our increasingly mobile and
complex financial system.
1 Law 360, “Anti-Money Laundering Compliance is About to Get Personal,” March 10, 2015
2 Financier Worldwide, “Risk, Governance & Compliance for Financial Institutions in 2015”
4. Commissions
CAN MANUAL PROCESSES PROVIDE THE EFFICIENCY,
VISIBILITY AND PREDICTABILITY YOU NEED?
“For any given transaction, there are a number of factors that impact the
calculation of payouts, including the rep and what he/she is paid, the
product type, how the deal is executed, the cost per ticket, the client, and so
on... Using software to automate these functions has kept the accounting
processes from becoming prohibitively labor intensive.”1
“From a management standpoint, keeping up with the details of so many
producers’ activities becomes an equally challenging and tedious task. Using
the software, on any given day … management can see where the company
stands in relation to revenues, payouts, and what its brokers are doing.”1
“Firms are seeking platforms that can track complex
and/or non-revenue compensation metrics. Firms are
integrating platforms across units to support the holistic
client experience.”
Ernst & Young, “Financial advisor compensation:
the changing approach to advisor incentives,” 2014
1 Robert A. Bonelli, President and CEO Northeast Securities, Inc., “Managing Complex Sales Compensation Plans,”
The Entrepreneur’s Resource