QlikView for Risk and Customer IntelligenceQlikView-India
This document provides an overview of QlikView software for risk management and customer intelligence applications in the financial services industry. It begins with an agenda and introduces QlikView's capabilities for risk/fraud analysis and customer intelligence. It then presents several case studies of banks and financial institutions using QlikView for tasks like risk monitoring, fraud investigation, customer targeting, and transaction analysis. Screenshots of sample QlikView applications are shown. The document concludes by discussing QlikView's uniqueness and advantages over traditional business intelligence tools.
This document discusses business intelligence (BI) and its applications for banking institutions. It describes how BI can help increase customer base, operational efficiency, customer satisfaction, and profitability through analysis of customer behavior, staff performance, and adherence to guidelines. Examples are given of how BI could analyze loan performance based on various customer and loan attributes. The document also discusses how to implement BI through data warehousing and creation of a data mart as well as dashboards, reports, and online analytical processing. It provides an example of how Tychon Solutions implemented a BI system for a photo frame manufacturer to provide historical sales reports and analysis.
Slides from the QlikTalk: QlikView for Banking presentation by Sander Daniels, MD of BI for Banking LTD & FORMER Head of Client Relationship Management (CRM) / Client Strategy at RBS in Customer QlikTalk Track I at the Business Discovery London event on 22nd November 2011
Business Intelligence In Financial IndustryKartik Mehta
As more and more operations of banks operations and use of banking transactions by the customer is being performed on web, the amount of data is growing exponentially. To get insights into the future Business Intelligence in Financial Industry could be the way forward.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
The document discusses business intelligence and data warehousing in the banking sector. It defines data warehousing as a collection of integrated and non-volatile data used to support management decision making. It describes the benefits of data warehousing and business intelligence for banks, such as improved risk management, operational efficiencies, customer segmentation, and decision making. Business intelligence helps banks retain profitable customers, improve operations, and gain actionable insights into portfolio performance.
Presentation business analytics in finance 16 9-2014GuyVanderSande
This document discusses the future of analytics in finance and key challenges for chief financial officers (CFOs) in leveraging analytics. It outlines that business analytics has become essential for finance organizations and CFOs need accurate, relevant and timely information to fulfill their evolving role. Some challenges for CFOs include dealing with large and diverse datasets from various sources and implementing predictive analytics. The document also provides examples of how analytics can help with cash forecasting, days sales outstanding tracking, and bank relationship management.
QlikView for Risk and Customer IntelligenceQlikView-India
This document provides an overview of QlikView software for risk management and customer intelligence applications in the financial services industry. It begins with an agenda and introduces QlikView's capabilities for risk/fraud analysis and customer intelligence. It then presents several case studies of banks and financial institutions using QlikView for tasks like risk monitoring, fraud investigation, customer targeting, and transaction analysis. Screenshots of sample QlikView applications are shown. The document concludes by discussing QlikView's uniqueness and advantages over traditional business intelligence tools.
This document discusses business intelligence (BI) and its applications for banking institutions. It describes how BI can help increase customer base, operational efficiency, customer satisfaction, and profitability through analysis of customer behavior, staff performance, and adherence to guidelines. Examples are given of how BI could analyze loan performance based on various customer and loan attributes. The document also discusses how to implement BI through data warehousing and creation of a data mart as well as dashboards, reports, and online analytical processing. It provides an example of how Tychon Solutions implemented a BI system for a photo frame manufacturer to provide historical sales reports and analysis.
Slides from the QlikTalk: QlikView for Banking presentation by Sander Daniels, MD of BI for Banking LTD & FORMER Head of Client Relationship Management (CRM) / Client Strategy at RBS in Customer QlikTalk Track I at the Business Discovery London event on 22nd November 2011
Business Intelligence In Financial IndustryKartik Mehta
As more and more operations of banks operations and use of banking transactions by the customer is being performed on web, the amount of data is growing exponentially. To get insights into the future Business Intelligence in Financial Industry could be the way forward.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
The document discusses business intelligence and data warehousing in the banking sector. It defines data warehousing as a collection of integrated and non-volatile data used to support management decision making. It describes the benefits of data warehousing and business intelligence for banks, such as improved risk management, operational efficiencies, customer segmentation, and decision making. Business intelligence helps banks retain profitable customers, improve operations, and gain actionable insights into portfolio performance.
Presentation business analytics in finance 16 9-2014GuyVanderSande
This document discusses the future of analytics in finance and key challenges for chief financial officers (CFOs) in leveraging analytics. It outlines that business analytics has become essential for finance organizations and CFOs need accurate, relevant and timely information to fulfill their evolving role. Some challenges for CFOs include dealing with large and diverse datasets from various sources and implementing predictive analytics. The document also provides examples of how analytics can help with cash forecasting, days sales outstanding tracking, and bank relationship management.
Coman Bank of India is seeking to adopt analytics to improve customer retention, cross-selling, and risk assessment. The bank currently has issues with high customer churn of 4% and single-product customers comprising 50% of its base. It aims to reduce churn to less than 2% and increase cross-selling to 40% of customers. The bank also aims to reduce fraud and loan defaults from the current 4% loss level. It has data available in its FINACLE banking system and enterprise data warehouse. The proposed scope of work includes customer segmentation, identifying reasons for churn, and risk/fraud analysis. Success will be measured based on ROI, data loading time, scalability, integrity, complexity, and security. The
1) Asian banks are investing heavily in new technologies like big data, analytics, and mobile banking to improve business processes, management reporting, and deepen customer relationships.
2) A key strategy is to centralize data and make it accessible across applications to power data-driven decisions. Technology choices need to consider time to market, cost, and decentralization.
3) Asian markets embrace new technologies rapidly but differ significantly, requiring customized solutions. Local banks are strategic tech investors in areas like IBM's Watson, Google Apps, and mobile payments.
How to Manage Increasing Data Compliance Issues in Community BanksColleen Beck-Domanico
During one of RMA’s Credit Risk Management Audio Conferences, H. Walter Young, chief liquidity risk officer, M&T Bank and chief data officer, CCAR, shared strategies and best practices for community banks facing increased data compliance and integrity issues, once deemed as “big bank issues."
The document discusses key performance indicators (KPIs) in the retail banking sector and the need for business intelligence and data warehousing in banking. Some important KPIs mentioned are total cash deposits, average annual deposits, number of depositors per branch, and number of default borrowers. Business intelligence can help with risk management, improving operational efficiencies, customer segmentation, cross-selling products, and meeting regulatory requirements. Examples provided demonstrate how business intelligence helped banks like Bank of India and ICICI Bank optimize operations and boost customer acquisition.
CGI's Steve Starace, SVP & BU Leader, U.S. Northeast explains how CGI’s solutions and services are addressing clients’ top priorities in the banking industry.
Axis Technology Consulting is a premier IT consulting firm that bridges business needs and technology investments. Founded in 2000, it is headquartered in Boston with additional offices in New York, Charlotte, and Dallas. Axis provides consulting services across various industries including financial services, insurance, and asset management. Its service offerings include customer engagement, information security, IT strategy, and application development and transformation.
Leveraging and Optimizing Internal and External Data for Strategic and Tactic...Baker Hill
This document discusses how community banks and credit unions can leverage internal and external data for strategic decision making. It emphasizes using data on local markets, customers, and transactions to optimize branch networks, target growth opportunities, and better understand customer preferences and behavior across channels. The document provides examples of segmenting customers based on account characteristics and channel usage, analyzing branch market areas, and identifying small business banking prospects. It stresses measuring results and adjusting goals based on analytics of customer, market and competitive data.
Oracle Real-time Decisions (RTD) software optimizes customer interactions across multiple channels like web, call centers, and mobile in real-time. It recommends products and services for each interaction based on factors like call reason, agent skills, and time of day. RTD automatically learns and adjusts its recommendations based on feedback to continuously improve results. It integrates across channels and is more advanced than rule-based systems. The document then provides an example of how RTD could optimize interactions with a specific customer, Robert Knowles, during a call about account fees.
The document discusses the need for banks to establish a single view of the customer to improve revenue growth, reduce costs, and better manage risk. It explains that a master data management (MDM) solution can help banks integrate customer data across multiple systems and business units. The key benefits of an MDM include improved customer experience, increased cross-selling opportunities, and reduced operational costs from data duplication. Some of the challenges in implementing MDM are gaining executive support, developing a fact-based business case, creating a practical roadmap, and ensuring an integrated solution that addresses technology, processes, and organizational changes.
Well-defined BI Strategy & Roadmap, Improved Cost Visibility, BI Asset Utili...ITC Infotech
ITC Infotech assisted the customer formulate an efficient Short and Long term roadmap that helped them to exceed Guest satisfaction, improve operational efficiency and save significant software licensing cost
Business intelligence (BI) refers to collecting, structuring, analyzing, and leveraging data to provide useful information for decision making. BI transforms raw data into meaningful insights through methods, processes, technologies, and applications. It involves gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to information through reports, dashboards, and data visualization tools. The goal of BI is to help organizations make more effective strategic, tactical, and operational decisions based on data-driven insights.
This document provides an overview of Wesfarmers and its business strategy. It discusses Wesfarmers' portfolio of businesses, total revenue, and background. It also describes Wesfarmers' corporate strategy, which leverages portfolio management to grow its conglomerate. The corporate strategy focuses predominantly on the retail industry and utilizes general rather than specialized resources to manage uncertainties as a mature business.
1) The document discusses how Oracle's Real-Time Decisions (RTD) platform can analyze past big data to predict the future through real-time decision making.
2) RTD uses machine learning to continuously learn from data and events to automatically improve all future decisions in real-time within business processes.
3) Example use cases where RTD could be applied include customer experience optimization, multi-channel marketing, intelligent process optimization, and risk/fraud analytics.
This document summarizes a performance tracking report for a commercial bank with multiple branches. It provides dashboards analyzing key operational metrics like complaints, errors, operating losses and gains, mishandled transactions, suspense accounts, and loan transactions at the branch level and in consolidation. The dashboards are sample tools intended to allow online review of these performance indicators and will load slowly on client machines due to their nature as samples.
This document discusses key performance indicators (KPIs) for banks. It provides information on developing KPIs, including defining objectives, identifying key result areas and tasks, and determining methods to measure results. The document cautions that KPIs should be clearly linked to strategy and designed to empower employees. It also outlines different types of KPIs, such as process, input, output, leading, lagging, outcome, qualitative and quantitative KPIs.
This document discusses key performance indicators (KPIs) for banking. It provides resources for banking KPIs including lists of KPIs, performance appraisal metrics, job skills, and key result areas. It also discusses steps to create KPIs for specific positions, common mistakes to avoid, how to design effective KPIs, and different types of KPIs such as process, input, output, leading, lagging, outcome, qualitative, and quantitative KPIs. The document recommends top materials including lists of KPIs, performance appraisal forms, and performance appraisal methods.
AppsBI Design provides an excellent foundation and starting point for business intelligence by offering a pre-built template that allows users to quickly build out dashboards and reports without extensive coding or technical skills. The template includes sample data models, reports, and dashboards that demonstrate best practices and can be easily customized to fit an organization's specific needs and data.
This document discusses key performance indicators (KPIs) for a bank chief executive officer (CEO) position. It provides information on developing KPIs for a bank CEO, including defining objectives, identifying key result areas, determining tasks and work procedures, and creating metrics to measure results. The document cautions that KPIs should be clearly linked to strategy, answer important questions, and empower employees. It also outlines different types of KPIs such as process, input, output, leading, lagging, qualitative and quantitative.
A one-hour presentation to members of the International Underwriters' Association of London on 12 September 2014. It offers an overview of UN, EU, US and UK sanctions and export controls which are imposing increased obligations on the insurance industry and sets out the main steps necessary to ensure compliance.
Coman Bank of India is seeking to adopt analytics to improve customer retention, cross-selling, and risk assessment. The bank currently has issues with high customer churn of 4% and single-product customers comprising 50% of its base. It aims to reduce churn to less than 2% and increase cross-selling to 40% of customers. The bank also aims to reduce fraud and loan defaults from the current 4% loss level. It has data available in its FINACLE banking system and enterprise data warehouse. The proposed scope of work includes customer segmentation, identifying reasons for churn, and risk/fraud analysis. Success will be measured based on ROI, data loading time, scalability, integrity, complexity, and security. The
1) Asian banks are investing heavily in new technologies like big data, analytics, and mobile banking to improve business processes, management reporting, and deepen customer relationships.
2) A key strategy is to centralize data and make it accessible across applications to power data-driven decisions. Technology choices need to consider time to market, cost, and decentralization.
3) Asian markets embrace new technologies rapidly but differ significantly, requiring customized solutions. Local banks are strategic tech investors in areas like IBM's Watson, Google Apps, and mobile payments.
How to Manage Increasing Data Compliance Issues in Community BanksColleen Beck-Domanico
During one of RMA’s Credit Risk Management Audio Conferences, H. Walter Young, chief liquidity risk officer, M&T Bank and chief data officer, CCAR, shared strategies and best practices for community banks facing increased data compliance and integrity issues, once deemed as “big bank issues."
The document discusses key performance indicators (KPIs) in the retail banking sector and the need for business intelligence and data warehousing in banking. Some important KPIs mentioned are total cash deposits, average annual deposits, number of depositors per branch, and number of default borrowers. Business intelligence can help with risk management, improving operational efficiencies, customer segmentation, cross-selling products, and meeting regulatory requirements. Examples provided demonstrate how business intelligence helped banks like Bank of India and ICICI Bank optimize operations and boost customer acquisition.
CGI's Steve Starace, SVP & BU Leader, U.S. Northeast explains how CGI’s solutions and services are addressing clients’ top priorities in the banking industry.
Axis Technology Consulting is a premier IT consulting firm that bridges business needs and technology investments. Founded in 2000, it is headquartered in Boston with additional offices in New York, Charlotte, and Dallas. Axis provides consulting services across various industries including financial services, insurance, and asset management. Its service offerings include customer engagement, information security, IT strategy, and application development and transformation.
Leveraging and Optimizing Internal and External Data for Strategic and Tactic...Baker Hill
This document discusses how community banks and credit unions can leverage internal and external data for strategic decision making. It emphasizes using data on local markets, customers, and transactions to optimize branch networks, target growth opportunities, and better understand customer preferences and behavior across channels. The document provides examples of segmenting customers based on account characteristics and channel usage, analyzing branch market areas, and identifying small business banking prospects. It stresses measuring results and adjusting goals based on analytics of customer, market and competitive data.
Oracle Real-time Decisions (RTD) software optimizes customer interactions across multiple channels like web, call centers, and mobile in real-time. It recommends products and services for each interaction based on factors like call reason, agent skills, and time of day. RTD automatically learns and adjusts its recommendations based on feedback to continuously improve results. It integrates across channels and is more advanced than rule-based systems. The document then provides an example of how RTD could optimize interactions with a specific customer, Robert Knowles, during a call about account fees.
The document discusses the need for banks to establish a single view of the customer to improve revenue growth, reduce costs, and better manage risk. It explains that a master data management (MDM) solution can help banks integrate customer data across multiple systems and business units. The key benefits of an MDM include improved customer experience, increased cross-selling opportunities, and reduced operational costs from data duplication. Some of the challenges in implementing MDM are gaining executive support, developing a fact-based business case, creating a practical roadmap, and ensuring an integrated solution that addresses technology, processes, and organizational changes.
Well-defined BI Strategy & Roadmap, Improved Cost Visibility, BI Asset Utili...ITC Infotech
ITC Infotech assisted the customer formulate an efficient Short and Long term roadmap that helped them to exceed Guest satisfaction, improve operational efficiency and save significant software licensing cost
Business intelligence (BI) refers to collecting, structuring, analyzing, and leveraging data to provide useful information for decision making. BI transforms raw data into meaningful insights through methods, processes, technologies, and applications. It involves gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to information through reports, dashboards, and data visualization tools. The goal of BI is to help organizations make more effective strategic, tactical, and operational decisions based on data-driven insights.
This document provides an overview of Wesfarmers and its business strategy. It discusses Wesfarmers' portfolio of businesses, total revenue, and background. It also describes Wesfarmers' corporate strategy, which leverages portfolio management to grow its conglomerate. The corporate strategy focuses predominantly on the retail industry and utilizes general rather than specialized resources to manage uncertainties as a mature business.
1) The document discusses how Oracle's Real-Time Decisions (RTD) platform can analyze past big data to predict the future through real-time decision making.
2) RTD uses machine learning to continuously learn from data and events to automatically improve all future decisions in real-time within business processes.
3) Example use cases where RTD could be applied include customer experience optimization, multi-channel marketing, intelligent process optimization, and risk/fraud analytics.
This document summarizes a performance tracking report for a commercial bank with multiple branches. It provides dashboards analyzing key operational metrics like complaints, errors, operating losses and gains, mishandled transactions, suspense accounts, and loan transactions at the branch level and in consolidation. The dashboards are sample tools intended to allow online review of these performance indicators and will load slowly on client machines due to their nature as samples.
This document discusses key performance indicators (KPIs) for banks. It provides information on developing KPIs, including defining objectives, identifying key result areas and tasks, and determining methods to measure results. The document cautions that KPIs should be clearly linked to strategy and designed to empower employees. It also outlines different types of KPIs, such as process, input, output, leading, lagging, outcome, qualitative and quantitative KPIs.
This document discusses key performance indicators (KPIs) for banking. It provides resources for banking KPIs including lists of KPIs, performance appraisal metrics, job skills, and key result areas. It also discusses steps to create KPIs for specific positions, common mistakes to avoid, how to design effective KPIs, and different types of KPIs such as process, input, output, leading, lagging, outcome, qualitative, and quantitative KPIs. The document recommends top materials including lists of KPIs, performance appraisal forms, and performance appraisal methods.
AppsBI Design provides an excellent foundation and starting point for business intelligence by offering a pre-built template that allows users to quickly build out dashboards and reports without extensive coding or technical skills. The template includes sample data models, reports, and dashboards that demonstrate best practices and can be easily customized to fit an organization's specific needs and data.
This document discusses key performance indicators (KPIs) for a bank chief executive officer (CEO) position. It provides information on developing KPIs for a bank CEO, including defining objectives, identifying key result areas, determining tasks and work procedures, and creating metrics to measure results. The document cautions that KPIs should be clearly linked to strategy, answer important questions, and empower employees. It also outlines different types of KPIs such as process, input, output, leading, lagging, qualitative and quantitative.
A one-hour presentation to members of the International Underwriters' Association of London on 12 September 2014. It offers an overview of UN, EU, US and UK sanctions and export controls which are imposing increased obligations on the insurance industry and sets out the main steps necessary to ensure compliance.
The document discusses key performance indicators (KPIs) in retail banking and the need for business intelligence and data warehousing in the banking sector. Some important KPIs for retail banks include deposits held, number of depositors, withdrawals, loan defaults, and number of customers served. Business intelligence can help banks with risk management, improving operational efficiencies, customer segmentation, cross-selling products, reducing customer churn, and meeting regulatory requirements. Examples provided show how business intelligence helped banks like Bank of India and ICICI Bank boost profits and customer acquisition.
Embargoes are prohibitions on commerce and trade with specific countries imposed for safety, protectionist, or political reasons. There are three main types of embargoes: 1) Financial sanctions like freezing assets and funds; 2) Trade sanctions on products like arms, imports/exports, and other goods; 3) Trade sanctions on services including technical aid, investments, transport, travel, and insurance. Common goals of embargoes include preventing weapons from reaching sanctioned countries and hindering their economies. Examples provided include EU sanctions on Russia and US embargoes on Cuba and Syria.
Ehip4 caring through sharing privacy and-security-technical-aspects riccardo ...imec.archive
This document discusses security and privacy concerns for electronic health information platforms (E-HIP). It analyzes threats at the business and technical levels, and proposes using centralized access control rules and decentralized identity providers to enforce security. For privacy, it suggests pseudonymizing identifiers when data is communicated across contexts, with some applications requiring reversible pseudonymization. The implementation involves users authenticating and an anonymizer permitting access according to security service rules.
Maduf12 Summary And Conclusions Andre De Vleeschouwerimec.archive
This document discusses maximizing usage of DVB (digital video broadcasting) in Flanders after the analogue TV switch-off on November 3, 2008. It notes that the digital switch-on will free up digital dividend spectrum that could enable many new interactive broadcast services for entertainment, communities, mobility and more. It recommends more studies and experiments be conducted by IBBT in Ghent, as a medium-sized city with over 200,000 potential users and opportunities for new services related to its harbor, tourism, students, culture and transportation.
The front cover of a book or magazine is an important part of the overall design and needs to be carefully produced. Key details like the title, author name, and images must be clearly presented in an eye-catching layout to attract potential readers browsing in a store. Producing the front cover involves coordinating input from various teams to finalize all graphic elements and text before printing and distribution.
The DEUS project aims to tackle the challenges of deploying and maintaining wireless enterprise networks through three objectives: easy deployment using automatic configuration, ease of use with an intelligent wireless mesh backbone that adapts to conditions, and easy management with monitoring and configuration tools. The resulting DEUS network uses a two-tier architecture of wireless mesh routers forming a backbone connected to various client networks. New nodes are securely added to the network through a four-step process managed by a coordinator node. The intelligent mesh backbone automatically organizes the network and supports roaming and interconnectivity between different networks. Administrators can monitor the network and devices using easy management tools that consume minimal bandwidth.
This document contains draft bylaws for the Identity Ecosystem Steering Group. It defines key terms related to the governance structure and outlines membership classifications, participation levels, stakeholder groups, and rights and responsibilities of members. The steering group will be made up of a Plenary and Management Council and will work to adopt standards, develop policies and procedures, and accredit identity ecosystem entities in support of the National Strategy for Trusted Identities in Cyberspace.
- Distributed software systems are increasingly important as organizations collaborate over networks. This requires appropriate distributed software architectures, development methods, and management techniques.
- Key architectures discussed include service-oriented, peer-to-peer, sensor networks, and cloud/grid computing. Middleware is important for supporting distributed applications across different platforms.
- Managing the total cost of ownership of complex distributed software systems is a growing concern, requiring techniques for provisioning, policy definition, load balancing, and more. Autonomic and self-managing techniques aim to increase system autonomy.
- Several example distributed software platforms and applications are presented, including for telecom, healthcare, personal content sharing, and sensor networks. Security and policy-driven approaches
Briefing on OASIS XLIFF OMOS TC 20160121Jamie Clark
The briefing provided an overview of the XLIFF OMOS TC, which aims to develop an abstract object model and JSON serialization for the XLIFF 2.0 standard to improve interoperability. The TC is chaired by David Filip and has members from various organizations. It plans to deliver an object model for XLIFF 2.x, a JSON version called JLIFF 1.0, and work on a new version of TMX with an inline data model consistent with XLIFF 2.0. The TC uses a non-assertion IPR mode and invites participation from stakeholders in multilingual content and localization.
Haiku is a free and open-source operating system compatible with BeOS. It began development in 2001 as the OpenBeOS project after Be Inc. discontinued BeOS development. The first alpha version was released in 2009. Haiku aims to provide compatibility with BeOS at the source code and binary level to allow existing BeOS software to run on Haiku without modification. Development involves recreating BeOS components like the kernel, file system, and GUI toolkit. While some components are complete, others remain in development stages.
The burgeoning onshore wealth management industry has its own unique set of challenges and positioning but it is becoming increasingly attractive for banks with the rising wealth of Asian consumers.
Since many of these domestic banks are still in an investment mode, cost-to-income ratios in the industry are steadily increasing. Intensifying competition from domestic and foreign players over more careful and knowledgeable clients and the recent increase of regulatory requirements and administrative work present real challenges in scaling up.
Questions will thus arise - how can onshore wealth managers scale up their business effectively and efficiently without incurring the significant costs of their more mature peers? Which operational investment should be given priority within a finite budget – back-office, front-end, staffing or product manufacturing?
These issues and more will be discussed in the webinar on Scaling Up Your Wealth Management Business organized by Private Banker International and Sopra Banking Software based on research that has taken place around the region and globally.
FINANCIAL & CORPORATE COLLATERAL > portfolio // Linda C. ModicaLinda Modica
This short visual presentation contains the design work of Linda C. Modica, a NYC-Metro area art director & graphic designer. Selected published works for GSMI, IMN (Information Management Network) and Black Swan Consulting Group.
This document discusses top solutions for using QlikView business discovery software in the financial services industry. It introduces 10 top solutions: executive dashboards, risk management, expense management, customer analysis, asset management, client servicing, financial management, sales analysis, transaction monitoring, and IT management. For each solution, the document provides an overview and examples of how QlikView can be implemented through sample apps and customer stories. Overall, the document promotes QlikView as an self-service business intelligence platform that can provide on-demand insights and analysis across many areas of financial services.
This document discusses how visual analytics can help drive digital transformation in the retail banking industry. It covers key trends like demographic changes, evolving customer behaviors, and increasing regulations that are challenging traditional banks. It advocates using visual analytics to improve customer centricity, operational efficiencies, risk management, and other initiatives. Case studies are presented showing how banks like ANZ and Swedbank have used visual analytics platforms like Qlik to gain insights from data and remain competitive against technology companies.
This document summarizes National Financial's offerings for broker-dealers, including superior services, comprehensive product solutions, value-added services, and technology solutions to help firms grow their business. It highlights National Financial's dedicated relationship managers, flexible technology platform Streetscape, and the strength and experience of working with a leading clearing and custody provider of Fidelity Investments, which has $5 trillion in assets under administration.
This document summarizes a discussion between financial planners about trends in wealth management. It discusses how robo-advisors have influenced traditional firms to adopt hybrid human-digital models. Technology now plays a key role in enabling goals-based planning, portfolio construction, and helping advisors optimize processes like client reporting. Financial planners must adapt to serving more sophisticated client needs and incorporating goals-based wealth management approaches.
Naveen Jain discusses building an analytics culture at First Tech Federal Credit Union. Key aspects included establishing executive commitment, focusing on fact-based decision making, developing an information infrastructure, and engaging business units. Early wins included improving onboarding to drive product penetration and reducing mortgage loan cycle times by integrating data and visualizing workflows. Lessons learned centered around maintaining executive alignment, engaging business stakeholders, prioritizing quick wins through an agile development approach.
Sein Analytics provides a structured finance platform with analytics and tools to help investors make smarter decisions. Their solution aggregates loan-level data from trustees to provide visibility and analysis capabilities like structuring deals, running scenarios, and saving/exporting results. Their goal is to offer a complete solution and become the standard in the industry, currently targeting the commercial mortgage-backed securities market. They have raised over $100k in funding and plan to generate $60 million in revenue by 2018 with 200 customers.
This document discusses the potential for "Robo-Advisors" or software-assisted wealth management advisors to address challenges in the industry. It notes rising customer expectations, threats of substitution from online advisors, growing costs and regulatory pressures, and the need for customizable service models. The rationale presented is that Robo-Advisors could help standardize solutions while still offering customization. They could assist human advisors in comprehensively handling client diversity and needs to structure optimal financial solutions. If effectively positioned and implemented, Robo-Advisors could enhance existing wealth management products and revolutionize the advisory business, particularly for underserved emerging markets.
EY: Why graph technology makes sense for fraud detection and customer 360 pro...Neo4j
This document discusses why graph technology is ideal for customer 360 and fraud detection projects in the insurance industry. It provides an overview of graph use cases in banking, insurance, and capital markets including for customer 360, fraud detection, and knowledge graphs. It then discusses challenges insurers face with siloed data and lack of a unified customer view. Implementing a customer graph allows linking diverse data sources to create a complete view of customers and their relationships to enable context-based decision making and analytics.
The document discusses Microsoft's research and analytics services, highlighting its technology-led solutions that have helped clients gain competitive advantages. It provides an overview of Microsoft's knowledge management services, global presence and delivery model, as well as client testimonials. Examples of various research practices and case studies demonstrating results for clients are also presented.
Bigvue Consulting provides analytics services to banks and financial institutions to improve business outcomes. Analytics can help with improved customer acquisition and retention, increased cross-selling opportunities, better risk management, and enhanced customer value. Bigvue's services include developing predictive models to activate dormant customer accounts and increase credit card cross-selling. Their methodology involves assessing business objectives, analyzing data, building analytical solutions, validating results, and implementing solutions to track outcomes. Bigvue leverages analytics and technology across various banking products and channels to help clients make better strategic and tactical decisions.
In the fifth session of the Nexii Webinar Series 2012, we featured M-CRIL Ratings. Micro-Credit Ratings International (M-CRIL) specialises in rating the performance of micro-finance institutions and social enterprises, among other activities. In this most recent webinar session, Sanjay Sinha, founder and managing director of M-CRIL, walked attendees through the methodology behind M-CRIL, highlighting key indicators, the rating process, and the benefits of using such a performance and impact measurement tool.
From conducting performance and impact ratings, M-CRIL has made notable findings regarding the potential and impact of microfinance institutions and social enterprises across the world. According to M-CRIL, over 100 million families have been positively impacted by microfinance institutions worldwide. In addition to this, M-CRIL noted that over $30 billion is available for investment in microfinance and impact enterprises. These are very exciting findings for impact investing!
If you would like to know more about M-CRIL and its ratings, we have made the webinar slides available below. You can also find out more by contacting M-CRIL directly at contact@m-cril.com
This document provides an overview of Axis Technology Consulting, including:
- The company's focus areas in customer engagement, risk management, business operations, and application transformation.
- Examples of projects completed for major clients in financial services across these areas.
- Capabilities in general consulting, customer engagement, risk management, business strategy/operations, and application development.
This document provides information on Critical Missions & Management Consulting's services in insurance, takaful, Islamic banking, and bancassurance. It outlines the experience and expertise of two practice partners in these areas, with over 25 years each working in insurance, reinsurance, takaful, banking, and financial services in various regions. Examples are given of six successful critical missions conducted in insurance and two in banking and financial services. The document concludes with contact information.
Jayant Tondon has over 17 years of experience in banking operations, digital transformation, product management, and consulting. He is currently seeking a position with a reputed organization in banking, financial services, or consulting. His experience includes transforming business processes, product implementation, and managing teams in the banking sector across multiple countries.
Why Data Scientists are not the answer to your Customer Insight gapsPaul Laughlin
1) While data scientists have skills in analytics, they often lack business context and soft skills to work effectively with stakeholders.
2) Customer insight teams are better able to drive customer centricity by holistically analyzing customer data, research, and experiences to understand customers and improve marketing.
3) The document recommends developing strong customer insight capabilities rather than solely relying on data scientists by focusing on soft skills, business partnerships, and a customer-obsessed culture.
Similar to Qlikview in Banking Business Intelligence - Interactive Risk Information Discovery. Lance Tay (20)
Discover timeless style with the 2022 Vintage Roman Numerals Men's Ring. Crafted from premium stainless steel, this 6mm wide ring embodies elegance and durability. Perfect as a gift, it seamlessly blends classic Roman numeral detailing with modern sophistication, making it an ideal accessory for any occasion.
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Qlikview in Banking Business Intelligence - Interactive Risk Information Discovery. Lance Tay
1. 21 November 2o13
Using Technology to Bring Risk and Finance
Closer to the Business
INFORMATION INSIGHTS
To Bring Risk And Business Together
Lance T
ay
Head of Financial Services, Japan & Asia-Pacific
ARCA National Conference 2013
Fairmont Resort, Blue Mountains
21 November 2013
Lance Tay
Director of Financial Services
lance.tay@qlikview.com
Lance Tay is the Director for Financial Services Industry in QlikTech’s Global Market Development Unit.
He provides deep domain expertise and solutions to QlikTech’s banking and insurance customers in Japan
and Asia-Pacfic. Lance brings to this role a wealth of experience and valuable insight gained through over
twenty years of experience working with some of the region’s largest financial services companies. His
domain expertise includes retail banking, wealth management, cards services, trade payments, and P&C
lines.
Lance has worked with many financial services institutions in Australia, New Zealand, South East Asia, India,
China, and S. Korea to envision and implement transformation programs in the areas of customer
segmentation, acquisition, on-boarding, and retention. He is considered a business transformation and
business strategy thought leader within the financial services sector. And, He is a regular commentator in
leading industry publications and is often invited to speak at industry seminars about breakthroughs in retail
financial services and IT strategy.
Prior to joining QlikTech, Lance held management positions at The Boston Consulting Group, Accenture,
Oracle Corp, and Procter & Gamble. Lance was also the general manager of the national check processing
center for a major regional bank.
Lance holds a MBA from Cornell University, and a Bachelor of Science from the Southern University of New
Hampshire. Before settling down in Singapore, Lance lived in Sydney, Bangkok, Mumbai, and Geneva.
Lance Tay
1
2. 21 November 2o13
Agenda
• QlikTech, Qlikview, and Business Discovery
• Qlikview in Financial Services
• Qlikview Solutions for Risk Management in Banking
- Enterprise Risk
- Counterparty Risk
- Credit Risk
- Liquidity Risk
- Operational Risk
- Market Risk
- AML and Fraud
• Customer Case Studies
• Qlikview Solution for Australia’s CCR
• Qlikview Solution for Cross-Border Strategies & Challenges
• Q &A
Qlikview – Interactive Analytics
Video Vignette - Business Discovery
Lance Tay
2
3. 21 November 2o13
QlikTech
3,000+ Financial Services clients
• Founded 1993 in Sweden
• 26,000 customers in 100
countries
– 1,800+ banking customers
– 15 of the top 15 banks
– 5 of the top 5 Insurers
– 10 of the top 10 capital markets
• 1,400+ employees across 28
offices in 23 countries
• 1,200 global partners including
industry specific technology,
solution and SI partners
Qlikview in Australian Banking
QlikView is used in many areas of Australian Banks including:
• Treasury dashboards (liquidity, funding, return, etc)
• Market Risk Limits Management
• Cards Product and Marketing Analy sis
• Interest rate risk and VaR
• Deposits Portf olio analysis
• Global Capital Markets
• “For v alue” batch monitoring
• Expense Management
• Retail Sales Dashboards – lending, deposits
• Finance analy sis and what if
• HR FTE, resource utilisation, gender equality, etc
• Project Management consolidated v iew
• Adv isor perf ormance and coaching
• Cross Sell and Up Sell across businesses
Lance Tay
3
4. 21 November 2o13
Enterprise Risk & Compliance for a Global Bank
Video Vignette - Customer Confidence
Qlikview
• Qlikview is Business Discovery for
Banking - the most demanding
industry in the world
• QlikView is the market-leading
business discov ery platform for the
f inancial serv ices sector by providing
true self -service BI
• QlikView empowers business users
and decision-makers by providing
access to data-driv en insights,
business discov ery and collaboration
• The experts in business discovery
within f inancial services with a prov en
set of solutions and methodologies for
tackling the challenges f aced by
today ’s financial institutions
Lance Tay
Gartner BI Platform User Survey 2011: #1 in
Performance, Satisfaction with development
tools and Lowest total cost of ownership
4
5. 21 November 2o13
Data Discovery (aka Business Discovery)
• “Business Discovery” or
“Data Discovery” is
Business Intelligence with
interactive reports and
explorable data from
multiple sources.
• According to Gartner,
"Data discovery has
become a mainstream
architecture in 2012”
Insight Everywhere
Business Discovery is a whole new way of
doing things that puts the business user in
control.
Unlike traditional BI, where just a f ew
people are inv olv ed in insight creation,
Business Discovery enables everyone to
create insight.
It’s about workgroups, departments, and
entire business units hav ing access to the
data they need to make better decisions.
With QlikView, businesses can take insight
to the edges of their organization, enabling
ev ery business user to do their jobs
smarter and f aster than ever.
Qlikview – Power to the User
Video Vignette - A String of Related Questions
Lance Tay
5
6. 21 November 2o13
Qlikview in Financial Services
Front, Middle, and Back Office
Sales, Branches & Advisors
• Sales & Revenue Analysis
• Customer Targeting
• Wealth Management Analysis
• Sales Performance Analysis
• Online Channel Applications
Executive Management
• Executive Dashboards and Mobile
• Balanced Scorecards
• Predictive / What-If Analysis
• Product Performance
• Performance, Margins, Commissions
Lending, Payments & Transactions
• Transaction Activity Analysis
- Deposits & Withdrawals
- Payments & Collections
• Mortgage and Loan Production
• AML / Fraud Investigation
Operations, IT, & Back Office
• IT Systems & SLA Management
• Project Portfolio Management
• Physical Asset Inventory
• Branch / Network Optimization
• ATM Rationalization
Risk Management & Compliance
• Risk & Exposure Analysis
- Credit, Market, Portfolio, Operational
and Liquidity Risk
• Compliance –Basel II, KYC, AML, USA
Patriot Act, Dodd-Frank
Portfolio Management
• Portfolio Management & Analysis
• Multi-Channel Performance
• Product Research
• Scenario / What-if Analysis
Finance
• Expense Management
• Financial & Management Reporting
• P&L Analysis by LOB
• Fund Accounting / GL
• Supplier Spend Analysis
Dashboard
Analysis
Marketing & Product Management
• Customer Cross-sell and Up-sell
• Customer Profitability & Segmentation
• Product Performance Analysis
• Marketing Campaign Analysis
• Web Analytics
Risk Management – The Drive for Stability
No Surprises !
• Risk management has been named as one
of the top four financial services themes for
2012 by the “IDC Financial Insights 2012
Predictions”
• In order to remain compliant and mitigate
risk, financial institutions are seeking to
adopt an enterprise-wide approach, ensuring
risk management is woven into the decisionmaking processes across all lines of
business, risk types and geographies
• Financial institutions are pursuing tools that
can provide risk personnel with the ability to
view, interrogate and analyze their risk data
on demand
• Meeting regulatory compliance remains a
top priority especially with regulations such
as Basel II+ for banking and Solvency II for
insurance
Lance Tay
BARC BI Survey 2011: #1 in Customer loyalty,
Mobile use, Intent to buy more licenses,
Performance satisfaction and Product features
6
7. 21 November 2o13
Qlikview Solutions for Risk Management
Find the Unknowns
• QlikView can consolidate large volumes of
data from disparate sources into a single view
• The in-memory ‘associative’ data layer allows
users to interact with risk data in an intuitive
interface which facilitates non-structured
analytical paths and drill through to details
• QlikView provides business users with the
ability to explore risk data and answer
questions without having IT deliver static or
prompted reports which provide limited
analysis capability
• QlikView has an extensive partner solution
and consulting offerings dedicated to risk
management within financial services
“It would take a year and a million dollars to
implement this functionality with traditional BI”
IT Team Lead, Major Com m er cial Lending Or ganization
• QlikView has proven experience delivering
complex risk solutions to banking,
securities/investments and insurance clients
Qlikview Key Functionality for Risk Management
Uncover the Unknown Unknowns
• Risk data discovery: Enables business users to
explore and interpret risk data
• Ad hoc analysis & reporting: Build simple or
complex interactive reports from scratch
• Risk data aggregation: Leverage in-memory
storage to pull together data from multiple
disparate sources at low levels of detail
• Mobile consumption: Deploy risk content to iPads,
iPhones and Android mobile devices
• Regulator inquiries: Quickly answer questions and
minimize manual efforts
• Search: Locate risk data in structured and
unstructured fields
• Association: Find risk data relationships
through built-in association functionality
“With QlikView at the core, we have built a
scalable and flexible data architecture with
new processes to allow more efficiency in
aggregating and reporting insurance
program information.”
CIO, Global Insur ance Or ganization
• Drill down: Identify trouble spots and drill down to
transaction level details
• Integration: Integrate with custom or 3rd party risk
calculation engines, portals and visualizations
Lance Tay
7
8. 21 November 2o13
QlikView Application Areas for Risk Management
Enterprise Risk Management
• Economic and Regulatory Capital
• Risk & Exposure Analysis
• Credit, Operational, Market, Liquidity
• Regulator and Board ad hoc requests
• Executive Risk Dashboards / Scorecards
Liquidity Risk
• Intraday Liquidity Snapshot / Trend
• Limit Management
• Idiosyncratic Survival
• Cash Flow Events
• Liquid vs. Illiquid Products
Counterparty Risk
• Counterparty Performance Trends
• Risk calculation / Simulation Integration:
- Credit Valuation Adjustment (CVA)
- Right Way / Wrong Way Risk
Analysis
- Risk Correlation
Credit Risk
• Mortgage and Loan Production
• Delinquencies and Charge-Offs
• Transaction Activity Analysis
- Deposits and Withdrawals
- Payments and Collections
Operational Risk
• Internal / External Events
• External Loss Events
• Risk Control Self-Assessments
(RCSA)
• Advanced Measurement Approach
(AMA)
• Data Quality and Controls
Market Risk
• Trade book performance and what-if:
- Equity Performance
- Interest Rates and FX Rates
- Commodity Prices
• Portfolio VaR, Stressed VaR
AML and Fraud
• Fraud Detection and Investigation
• Suspicious Activities / Transactions
• Watch List and Case Management
• Transactional Pattern Analysis
• Social Profiling
Regulatory Compliance
• Basel II+ (Banking)
• Solvency II (Insurance)
• Know Your Customer (KYC)
• Treating Customers Fairly (TCF)
• Sarbanes Oxley (SOX)
Customer Examples
Enterprise Risk Management
Liquidity Risk
Credit Risk
Counterparty Risk
Operational Risk
AML and Fraud
Market Risk
Lance Tay
Regulatory Compliance
8
9. 21 November 2o13
Qlikview – Demo
Video Vignette – Commercial Credit Risk
QlikView for Enterprise Risk Management
• Challenge:
–
–
–
Consolidate risk analytics across multiple
geographies, risk classes and lines of businesses
Share insights with key executives, shareholders
and regulators
Better manage economic and regulatory capital
• Solution:
–
–
–
Risk & exposure analysis across credit,
operational, market, liquidity, etc
Executive risk dashboards/scorecards to satisfy
inquiries from regulators and the board
Analyze economic and regulatory capital
Risk Container solution, built by Project Brokers, QlikView Partner
• Benefits:
–
–
Lance Tay
Help towards achieving the bank or insurer’s
performance targets and deliver shareholder value
Ensure effective internal reporting and external
regulatory compliance
9
10. 21 November 2o13
QlikView for Credit Risk
• Challenge:
–
–
–
Optimize loan approval decisions
Reduce defaults and improve credit quality
Manage portfolio credit risk
• Solution:
–
–
–
Analyze credit applicant profiles based on peers
Effectively track past due loans & forecast defaults
Investigate credit portfolio risk
• Benefits:
–
–
–
Reduction in loan defaults
Increase in loan profitability
More proactive credit portfolio management
Credit Risk management example showing ‘what-if’ analysis
QlikView for AML and Fraud
• Challenge:
–
–
Ability to detect and combat fraud at a corporate
and executive board level
Ability to spot and share knowledge regarding
high-risk customers and fraudulent practices
• Solution:
–
–
–
Rapidly integrates data sources and produces
compliance analytics on demand
Identify and mitigates suspect behavior or
potential fraud
Investigate and respond to ad hoc regulatory
compliance requests
Fraud example showing potential insurance claims fraud
• Benefits:
–
–
–
Lance Tay
Reduce regulatory fines and penalties
Reduce reporting and manual data analysis costs
Avoid potential reputational risk
10
11. 21 November 2o13
QlikView for Regulatory Compliance
• Obj ectiv e:
–
–
Eliminate risk and compliance silos and effectively
manage risk across the business
Compliance across multiple regulations and embed
compliance across core business practices
• Solution:
–
–
–
Deliver timely, accurate information to optimize risk
processes and management
Share risk insights with decision-makers
throughout the organization
Accurately identify and mitigate fraud and
operational risk
Regulatory Compliance example showing aggregated risk profile
• Benefits:
–
–
Compliance with evolving regulations, including
Basel II+, Solvency II, FDICIA, GLBA, SOX, etc
Deliver on demand, actionable analytics to ensure
risk is understood and remediated quickly
UK-based GlobalBank – QV in Market & Credit Risk
Utilised in Market &Credit with a wide v ariety of applications being used:
Users: 400-1,000 (globally)
Market &
Credit
Lance Tay
•
•
•
•
•
•
•
•
•
•
•
Single Name Concentration Report
Portf olio QV
Market/Trading Risk Aggregation
Counterparty Risk
Settlement Risk
Underwriting
Contingent Risk
3D Stress (Portf olio Stressing)
QMart – Basel III
Exposures
Credit Valuation Adjustment – Basel III
11
12. 21 November 2o13
UK-based GlobalBank - QV in Group Risk
Utilised in Group Risk with a wide v ariety of applications being used:
Users: 150-250 (Globally)
Group
Risk
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Market Risk –
Capital & Analy tics
Europe Retail & Business Banking
Group Wholesale Credit Risk
Pillar 3 – Group Risk Operations & Reporting
Stress Testing – Capital & Analy tics
Fraud MI – Group Fraud Risk
GXX – Group Risk
FRXX Pack – Group Risk
Liquidity Buffer Market Risk
FXXX – Capital & Analy tics
Retail Credit Risk
Trading Market Risk – Market Risk
Treasury Daily Risk – GMR
BAU – Retail Credit Risk
Case Study:
Maj or Credit Rating Agency
• Major credit rating agencies with a worldwide
presence. T hey generate over $2B in annual
revenue and have more than 3,500 employees
• Challenges:
–
To allow all analysts to rapidly assess exposures,
predict losses, estimate debt ratios, quantify
analytics, and publish results to internal and
external clients
• Solution:
–
–
–
Credit Quality: Fast and flexible analysis of loan
and pool level data before inclusion with existing
datasets for rating
Risk & Exposure: Dimensional analysis to discover
trends, analyze spreads, and assess exposures
across investment collateral and asset types
Rapid implementation of very sophisticated
application in less than six months
• Results:
–
–
–
Lance Tay
Improved credit risk assessment and
understanding of exposures that factor into ratings
Reduced average credit analysis time by weeks
Improved consistency and accuracy of credit data
Improved credit risk
assessment and
understanding of exposures
Reduced credit analysis time
by weeks
12
13. 21 November 2o13
Case Study:
Bank Neuflize OBC (ABN AMRO)
• One of the top three private banking and wealth
management firms in France, with over $30B in
assets under management
• Challenges:
–
–
Build a centralized, cross-entity operational risk
monitoring system for controllers and executives
Provide reliable, real-time tracking of processes
across thousands of operational control points
• Solution:
–
Deployed QlikView to central risk control
organization for:
•
•
•
Operational Risk Monitoring and Fraud Investigation
Centralized, real-time monitoring across 1,700
checkpoints, 8,000 instances, and 5m transactions
Allowed team to compare and combine from different
sources and standpoints to understand activity and
pinpoint areas of concern
• Results:
–
–
Reduced operational risk by allowing investigation
down to the transaction level, to uncover
underlying drivers
Eliminated 120 days of manual reporting effort for
a team of 20 controllers
Reduced operational risk by
allowing investigation down to the
transaction level
Eliminated 120 days of reporting
overhead for team of 20 controllers
Qlikview Solutions
• Australia’s CCR Privacy Code
• Risk Decisioning Approach
• Cross-Border Strategies & Challenges
Lance Tay
13
14. 21 November 2o13
Qlikview Solution for Australia’s CCR
• Preparing for CCR
• Readiness Testing
• Operational Support
• Monitoring
• Ensuring Compliance
The Privacy Amendment
(Enhancing Privacy
Protection) Act 2012
• a simplified and enhanced
correction and complaints
process
• a prohibitio n on the reporting
of credit-related information
about children
• a prohibitio n on the reporting
of defaults of less than $150
• the introduction of specific
rules to deal with prescreening of credit offers
• the introduction of specific
provisions that allow an
individual to freeze access to
their credit related personal
information in cases of
suspected identity theft or
fraud
• the introduction of civil
penalties for breaches of
certain credit reporting
provisions.
New Shared
Data Elements
•
•
•
•
•
Date account
opened
Credit limit of
the account
Ty pe of credit
Date account
closed
Repay ment
history
Qlikview Risk Decisioning Spectrum
From Visualization to Business Insights
Cross-Border
Customers /
HNWI
Risk &
Margins
Unsecured & Small
Business Lending
Mass Market &
Secured Lending
Lance Tay
Inv estigative Decisioning
Interactiv e Decisioning
Visualization &
Automated Decisioning
14
15. 21 November 2o13
Qlikview App for Credit Risk – Retail Banking
Empowering Credit & Business Teams
Function
Loan Officers
Credit Risk
Management
Lending
Executives
ALCO
Compliance
Officers
Capability
Goal
Value
Prov ide big-picture
v isualization
Optimize loan
approval
decisions
Reduce defaults
and improve
credit quality
Manage credit
portfolio risk
Meet regulatory
requirements (eg
CCR, Priv acy)
Reduction in
loan defaults
Analyze credit
applicant profiles
based on peers
Increase in loan
profitability
More proactive
credit portfolio
management
Better track past due
loans and forecast
defaults
Improve riskbased pricing
and capital
allocation
Slice and dice credit
portfolio to identify
areas of risk
concentration
Decrease
reputation risk
High-light outliers
Shared & Trusted Platform
Qlikview – Illustrative Architecture for Risk & CCR
rd
Including bi-directional integration with 3 party risk calculation engines
Filtered analysis
Qlikview Risk
Dashboards
Session
What-if
Session
Scenarios
Optional:
‘W hat-if’
scenarios
(custom UI)
Risk
Calc
Engine
Committed
Scenarios
Custom /
3r d Party Data
Publisher
Hosted QV
Apps
QlikView
Credit
Bureaus
Credit
Bureaus
Internal Data
Credit
Score
Trading
data
Lance Tay
Risk data-mart /
warehouse (optional)
Loan data
GL data
Market
data
Calculated
data
Other data
(.xls, etc)
15
16. 21 November 2o13
Typical BI Approach in Banks – Too Com plex, Too Slow
Typical BI Approach in Regional Banks
Manual or No
Consolidation
Country 1
Lance Tay
Country 2
Complexity Times 10n
- Timeliness
- Accuracies
- Completeness
Country n
16
17. 21 November 2o13
Qlikview As A Platform Enables Timely Aggregated
Relevant Information At The Right Time.
Global View of Risks
Global Single Customer View
Shared Views !
Country 1
Country 2
Country n
Summary
Lance Tay
17
18. 21 November 2o13
QlikView in Risk Management – Global View of Risk
• Risk data discov ery: Business user led risk data exploration
• Risk reporting: Build simple or complex, interactive risk reports
• Ad-hoc analy sis: Create custom reports from scratch
• Risk data aggregation: Lev erage in memory storage to pull together
multiple disparate sources at low lev els of detail
• Mobile consumption: Deploy risk content to iPads, iPhones, Android, etc
• Regulator inquiries: Quickly answer questions and minimize manual efforts
• Search: Locate risk data in structured and unstructured fields
• Association: Find risk data relationships through built in association logic
• Drill down: Identif y trouble spots and drill down to transaction level details
• Drill side-way s: Real-time
For More Information
http://www.qlikview.com/us/explore/s olutions/industries /financial-ser vices/banki ng
Lance Tay
18
19. 21 November 2o13
Key Qlikview Contacts
Sharryn Millican – General Manager, Australia & New Zealand
Sharryn.Millican@qlikview.com
+61 409 170 120
Simon Williams - Account Director
Simon.Williams@qlikview.com
+61 414 622 620
Lance T – Head of Financial Services, Asia Pacific & Japan
ay
Lance.tay@qlikview.com
• +65 9737-9971
Lance Tay
19