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.
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
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."
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
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."
Through this presentation, Mr. Vineet Khanna, Director - Practices, SAS India; talks about the key considerations for ALM, need for data management, analytics and optimisation.
Acquiring capacity for understanding key business activities in the environments and developing appropriate action points for business and organisational excellence.
Identifying knowledge value measurement in a company - june 2006Epistema
Paper Contribution for Knowledge Board Community - UK- after Conference: "Contactivity '06" - april 2006, at Business School of University of Greenwich - London
Why Do Banks Spends Millions for Credit Management System?Banu HImawan
While Financial Technology well known as Fintech is altering the way Banks and NBFIs run their businesses, more are still curbed by hesitation of the investment cost will not pay-off.
The Ten Steps to Enterprise Strategy Alignment can be adopted by any organization seeking to secure purposeful and repeatable execution that delivers substantial organization benefit and real competitive advantage.
Intelligent finance operations provide competitive edge to enterprisesGenpact Ltd
Looking to transform your finance operations? Genpact designs and runs intelligent finance operations that integrate technology and analytics to achieve competitive edge.
Through this presentation, Mr. Vineet Khanna, Director - Practices, SAS India; talks about the key considerations for ALM, need for data management, analytics and optimisation.
Acquiring capacity for understanding key business activities in the environments and developing appropriate action points for business and organisational excellence.
Identifying knowledge value measurement in a company - june 2006Epistema
Paper Contribution for Knowledge Board Community - UK- after Conference: "Contactivity '06" - april 2006, at Business School of University of Greenwich - London
Why Do Banks Spends Millions for Credit Management System?Banu HImawan
While Financial Technology well known as Fintech is altering the way Banks and NBFIs run their businesses, more are still curbed by hesitation of the investment cost will not pay-off.
The Ten Steps to Enterprise Strategy Alignment can be adopted by any organization seeking to secure purposeful and repeatable execution that delivers substantial organization benefit and real competitive advantage.
Intelligent finance operations provide competitive edge to enterprisesGenpact Ltd
Looking to transform your finance operations? Genpact designs and runs intelligent finance operations that integrate technology and analytics to achieve competitive edge.
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
(1) Diversified Funding: Problems with Steering Towards Long-Term Stable Funding; (2) Analysing the Best Internal Mechanism for Managing new Liquidity Requirements
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.
This presentation is an overview of my past professional and academic experience in the banking industry with regards to controlling and finance functions in various divisions from 2008 to 2010.The topics mentioned here all purely based on my experience and knowledge of how the retail banking functions, what are its main activities, tools and techniques and what I learnt from their implementation in day to day working life during my tenure in the retail banking area as an Analyst/Branch officer
Slides used during the presentation and demonstration 'QlikView & Big Data' at the Business Discovery World Tour on 9 October 2013 by Mischa van Werkhoven and Michael Robertshaw.
Big Data. We've all heard about it. We all think we should do something with it. But do we know exactly what it is and how to create value from it? How reasonable are our expectations? This session focuses on the myths of Big Data, technologies involved as well as how QlikView can be used to add relevance and context to Big Data for the end user.
This session will go into best practices and detail on how to architect a near real-time application on Hadoop using an end-to-end fraud detection case study as an example. It will discuss various options available for ingest, schema design, processing frameworks, storage handlers and others, available for architecting this fraud detection application and walk through each of the architectural decisions among those choices.
RFM Segmentation is the easiest and most frequently used form of database segmentation. It is based on three key metrics: Recency, Frequency and Monetary Value of customer activity. RFM is often used with transactional history in e-commerce, but can also work for Social Media interactions, online gaming or discussion boards. Based on calculated segments a marketer can prepare cross-sell, up-sell, retention and reactivation capampaigns. This deck provides a simple introduction to the RFM Segmentation methodology.
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.
Digital B2B Credit Best Practices | Emagia Credit Automation | Emagia MasterC...emagia
Digital B2B Credit Best Practices
Agenda
Introduction
Credit Management and How It’s Changed
Fundamental Credit Best Practices
Digital Automation Enablers
Case Study
Benefits
Conclusion
Questions
Introduction
The Covid 19 economy has raised the level of Credit Risk to levels not seen in the global economy since the Great Depression
Increasing effectiveness for Business Units in Banking and road to faster Insights / Bankacılıkta iş birimlerinin etkinliğini arttırmak ve içgörülere hızlı erişim
AI powered Decision Making in Banks - How Banks today are using Advanced analytics in credit Decisioning, enhancing customer life time value, lower operating costs and stronger customer acquisition
The Credit Process: A Guide For Small Business OwnersAli Mohammed
This Power Point is talking about The Credit Process as guide for Small Business Owners containing
=Methodology
=Major deliverables
=5 C’s of Credit
=Credit Risk Management
=Management Approvals
=Future work processes
=Future Procedures Overview
=Information system support
=Functions of Credit Control Group & Marketing Division
=Way forward
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.
Operational Risk : Take a look at the raw canvasTreat Risk
Operational risks by banks have never been recognised till BASEL II imposed on banks to look forward. Take a look at the broad canvas of Operational risks applicable for banks
As a product manager specialize in monetization for software, I like to share my concepts and techniques with my colleagues to help them understand my approach.
We believe digitization and automation are the means for institutions to drastically improve their compliance return on investment. Technology solutions like Risk Assessments, customer on boarding, cross-channel risk analysis, monitoring and screening, etc… should be looked at as part of the overall business plan and growth in order to achieve Strategic Compliance Planning.
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.
CFOs and the Corporate Performance event presentation is now available for download!!
Don't miss out the chance to discover KMS Financial Dashboard and gain a 360 degree view of the profitability, risk and cash flow metrics of your organization. Get in touch with us and learn how to perform Dynamic Analysis, Simulation of Profits, Sensitivity Analysis and uncover key value drivers.
Similar to QlikView for Risk and Customer Intelligence (20)
Learn how QlikView Business Discovery is enabling Escorts in their strategic decision making process. Escorts banks on QlikView Business Intelligence & Analytics for gaining insights.
Business Discovery @ Delhi International Airport - GMR GroupQlikView-India
Learn how QlikView Business Discovery is enabling Delhi International Airport Ltd. (DIAL) with strategic decision making. The speaker shares his views on how Qlik is helping DIAL in their Business Intelligence & Analytics approach to fact-based decision making
Look at how one of India largest travel portal is using QlikView Business Discovery for fact-based decision making. The CIO of Make My Trip shares his views on how Qlik is enabling them in their Business Intelligence, Data Discovery & Analytics approach.
Mahindra & Mahindra on QlikView Business Discovery & AnalyticsQlikView-India
The Head of IT at Mahindra & Mahindra shares his views on QlikView Business Discovery & Analytics.
QlikView Business Discovery is adding value and insights to organizations in India and globally helping them steer their organizations forward.
Volkswagen India on QlikView Business Discovery & AnalyticsQlikView-India
The CIO of Volkswagen India shares his views on QlikView Business Discovery & Analytics.
QlikView Business Discovery is adding value and insights to organizations in India and globally helping them steer their organizations forward.
QlikView Business Discovery @ Mahindra & MahindraQlikView-India
View the presentation done by Mr. Richard De Souza (Head - IT) at Mahindra & Mahindra at a recently held QlikTech event. Mr. De Souza shares his views on Business Discovery and how it is adding value to their organization.
Transforming MIS at SAB Miller India using QlikView Business DiscoveryQlikView-India
View the presentation on how QlikView Business Discovery is adding value at SAB Miller India. Mr. Ranendra Datta ( VP - IT & CIO) shares his insights on how QlikView is adding value in their decision making process.
View this slide deck that was presented at Business Discovery World Tour hosted in India in March 2013. It talks about the constantly changing world around us. The important trends that contribute to this evolving business landscape are:
1) Information is more strategic than ever before
2) Computing access is ubiquitous
3) Consumerization and empowerment have changed the nature of information work and information technology (IT)
View this presentation made at India's largest Business Discovery World Tour. It talks about how QlikView Business Discovery - user driven BI is different from traditional BI applications. Customers are loving this user-driven BI and are actively embracing it suffice to say there are over 26000 customers worldwide who are already using QlikView.
The country manager of Teradata India spoke at the QlikView Business Discovery World Tour in India on the growing importance of Big Data and the need for user-driven BI. View the presentation and how QlikView Business Discovery & Teradata are looking at Big Data & Business Discovery.
“What is special about QlikView? How is it different from other software?”
Some who ask these questions have experience with traditional BI (business
intelligence) reporting solutions and want to understand QlikView in that
context. Others have been exposed to standalone data visualization tools
and want to know how QlikView is different. Still others are on a mission to
put high-speed analytics in the hands of business users throughout their
organizations and are curious about how Business Discovery can help. This ppt showcases the benefits of an information workforce being empowered to
ask and answer the next question on their own, without having to ask a BI or IT
specialist for help. Empowering information workers to derive insights from data
helps organizations to streamline, simplify, and optimize decision making.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
2. Agenda
• Introductions
• QlikView for Risk / Fraud / Crimes
• QlikView for Customer Intelligence
• Customer Examples / Screenshots
• Next steps
3. In the current Financial Crisis, effective business analytics can
have a significant impact on your viability and bottom line
Industry challenge:
4. Typical BI approach in FS organizations
Pushing Static Reports in Silos
Hundreds of SQL Queries, Access db’s, other stand-alone entry points
5. Business Discovery
Enables Both Agility and Governance
• Self Service
• Visual dashboards
• Associative search
• Interactive analytics
• Any device
• Assemble and
prepare data
• Deliver relevant data
• Ensure security
and scalability
• Enforce standards
BUSINESS USERS
MOVE FAST
IT RETAINS CONTROL
OVER DATA
DEVELOPERS
ARE AGILE
• Rapid development cycles
• Quick turn around
• Leverage global standards
and best practices
7. QlikView sweet spots in Analytics
• Visualization: Spot trends/patterns/outliers through intuitive UI
• Discovery: Explore/analyze/modify analysis by Business users
• Data aggregation: Leverage in memory storage and compression to pull
together large volumes of multiple disparate sources at low levels of detail
• Search: Locate data in structured and unstructured fields
• Association: Find data relationships through built in association logic
• Rapid Apps: Spin up custom ‘1-off’ apps quickly for custom questions
• Scoring: Apply mathematical calculation logic to score fraud / Sentiment
propensity
• Drill down: Identify trouble spots and drill down to transaction level details
• Mobile consumption: Deploy content to iPads, iPhones, Android, etc
• Reporting: Build simple or complex, interactive reports
9. QlikView for Fraud and Risk Analytics
Experience and Customer Use Cases
Dashboard
Analysis
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
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
Enterprise Risk Management
• Economic and Regulatory Capital
• Risk & Exposure Analysis
- Credit, Operational , Market, Liquidity
- Regulator and Board ad-hoc requests
• Executive Risk Dashboards / Scorecards
Fraud and Anti-Money Laundering
• Fraud Detection and Investigation
• Suspicious Activities / Transactions
• Watch List and Case Management
• Transactional Pattern Analysis
• Social Profiling
Credit Risk
• Mortgage and Loan Production
• Delinquencies and Charge-offs
• Transaction Activity Analysis
- Deposits and withdrawals
- Payments and collections
Regulatory Compliance
• Basel II/III (Banking)
• Solvency II (Insurance)
• Know Your Customer (KYC)
• Treating Customers Fairly (TCF)
• Sarbanes Oxley (SOX)
10. ABN Amro - Bank Neuflize OBC
Risk Management and Compliance
Challenges
• Build a centralized, cross-entity operational risk monitoring
system for the bank’s controllers, analysts and executives
• Provide reliable, real-time tracking of processes across
thousands of operational control points
Solution
Deployed QlikView to central risk control organization for:
• Global Operational Risk Monitoring and Fraud Investigation
• Centralized, real-time monitoring across1700 checkpoints,
over 8000 instances, and 5M monthly 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
• Empowered business users with risk discovery and self
service analysis capabilities
Reduced operational risk by allowing investigation
down to the transaction level
Eliminated 120 days of reporting overhead per
month for team of 20 controllers (4 days / month)
11. Case Study – ”Hundreds of QlikView apps”
Top 10 Global Bank
80% reduction in cost per question
2m+ ROI on specific projects (their quoted total)
Challenges
• Improve visibility into performance across the firm, including
retail bank, investment bank, compliance, fraud, and
operational areas
• Reduce manual data consolidation and analysis backlogs for
multiple decision support and operational reporting groups
Solution
100’s of QlikView apps deployed QlikView to 3000+ users
enterprise-wide for example:
• Basel III Risk Management (Credit/Market/Liquidity, etc)
• Compliance and Anti Money Laundering Investigation
• Retail Bank Sales, Marketing and Branch Performance
• Security and Investigative Services (fraud)
• Operational Efficiency, Expense Management, Physical Asset Utilization
• Investment Bank Trade Activity
• Fixed Income Sales Analysis
Results
• Created a new capability for business user information
discovery to support innovation
• Provided ability to get answers to questions that were not even
possible to ask with legacy BI and reporting tools
• Some apps with 2300+ million rows of data
12. Standard Bank
• Region: UK & Africa – 27 Countries
• Line of business: Retail and Investment Banking.
• Size of deployment : 1000+ users.
• Risk Disciplines: Credit, Market, Operational.
• Challenges:
– Multiple source systems.
– High volumes of data.
– Risk managers only had a 30 day
view of risk.
– Stress tests took weeks.
– Highly distributed team.
– Siloed view of risk.
– Lack of agility in the front office.
– Poor data networks in Africa.
• Business Value Delivered:
– Consolidated 12 systems.
– 7 years P&L consolidation.
– Global Op-Risk Reporting.
– Credit Portfolio tool deployed to 600
users across IB.
– Stress tests on demand, in minutes.
– Firm-wide view of risk delivered.
– Ad-hoc analysis and aggregations.
– High performance even over low-
bandwidth African networks.
13. Piraeus Bank
• Region: Greece
• Line of business: Retail Banking.
• Size of deployment : 600+ users.
• Risk Disciplines: Credit, Market, Liquidity.
• Challenges:
– Operating in extreme market
conditions.
– Competing teams had been
trying to deliver for 2 years
without success.
– reporting bottleneck of several
weeks.
– Constant liquidity challenges.
– They needed to be able to
identify who was taking money
out – by customer segment.
• Business Value Delivered:
– Delivered a near-real-time view of
liquidity by directly accessing source
systems.
– Enabling analysis by customer
segment to understand daily liquidity
challenges.
– Monitoring KPI’s for the exec team.
– Enabled immediate analysis for
business users.
– Enabled rapid identification of non
performing loans.
16. Sample Risk/Fraud Architecture
Trading
data
Other data
(.xls, etc)Loan data GL data
Market
data
Calculated
data
Risk data-mart / warehouse
(optional)
Optional:
What if
scenarios
(custom UI)
Risk /
Fraud
Calc
Engine
Data
Custom /
3rd party
QlikView
Filtered analysisQlikView
Business
Discovery
Dashboards
Committed
Scenarios
Session
Scenarios
Publisher
Session
What-if
Data into
QlikView
18. Customer Analysis
Customer profile / single view
Customer profitability
Multi-channel analysis
Cross-sell and up-sell
Social medial sentiment analysis
Sales and Revenue Analysis
Profitability analysis
Industry benchmarking
Revenue tracking
CRM analytics
Account characteristics
Transaction Management
Fraud detection and prevention
Transaction monitoring
Risk & pricing strategies
Credit scoring
Case management
Customer Targeting
Customer segmentation
Target marketing
Application processing
Risk management
Campaign performance
Customer (Client) Servicing
Extranet reporting portal
Dispute management
Customer retention
Call center management
Mobile and web delivery
Products and Services
Product management
Affinity / loyalty programs
Points and rebates tracking
Channel marketing
Regulatory compliance
Collections & Portfolio Management
Credit line tracking
Customer fraud
Delinquent accounts
Collection department
Credit limits and authorization
Customer On-boarding
Account Opening
Process improvement
Asset management
Measure effectiveness
Account characteristics
Common QlikView application areas
for Customer Intelligence
19. Case Study – ”5000+ users from a single app”
Swedbank - Leading European Retail Bank
Challenges
• Improve ability for the bank’s 300+ branches to target
customers in a customized manner
• Empower 5,500+ sales advisors to increase customer
interactions and better cross-sell / up-sell products &
services
• Replace legacy SQL based tools and find an alternative to
the bank’s reporting tool – Microstrategy – which could
not solve the problem
Solution
Deployed QlikView to ALL 5,500+ users at 300+ branches
for:
• Customer targeting at the individual branch level
• Ad-hoc customer base analysis for cross-sell / up-sell
Results
• Increased volume of client interactions: target a 1%
increase Improved quality of meetings: a 1%
improvement in sales Created new, flexible analytics
alternative to Microstrategy
20. • 1.4 TB of financial data analysis at a multinational bank
• 6150 business users in eight regions (4800 concurrent)
• QlikView application size 20 GB in RAM
• Over 300 columns in largest app
Deployment Summary
Technical Solution
• 3 clustered QlikView servers, 2 clustered publisher servers
• 1 stand alone QlikView server to handle heavy analytics
• Web Server clustering and Cisco NLB
Performance Result
• 1600 concurrent users with 3088 clicks per minute
• Average response time less than 3 seconds
Case Study – ”5000+ users from a single app”
Swedbank - Leading European Retail Bank
28. Founded 1993 in Sweden
26,000 customers in 100 countries
Used in all Top 20 Financial
Services firms in US and EMEA*
15 of the top 15 banks
5 of the top 5 Insurers
10 of the top 10 capital markets
1,100+ employees across
28 offices in 23 countries
Dedicated QlikView Financial
Services teams globally
1,200 global partners including
industry specific technology,
solution and SI partners
2,500+ Financial Services clients
* 2011 Forbes 2000 list
in Financial Services
29. Mobile DevicesSearch
Innovations Are Remaking Markets
BICRM
SIMPLICITYSIMPLICITY SIMPLICITY SIMPLICITY
PageRank
Search
iPhone/iPad SAAS-based
CRM
Business
Discovery
30. QlikTech: Gartner 2013 BI
Magic Quadrant Leader
• Data Discovery now
mainstream: All leaders now
have an offering, validating
the market we pioneered
• QlikTech in leader quadrant
for third year
• Customers’ choice for
implementation ease
and ROI
• Customers report strong
delivery of business benefits
Magic Quadrant for Business Intelligence Platforms:
February 2013
31. Source: Gartner Emerging Technology Analysis: Visualization-Based Data Discovery Tools Report, June 2011
Gartner 2011 – Data Discovery Report
32. Gartner: Total Cost of Ownership Analysis
Lowest TCO of any MQ
Leader or Challenger
Total Cost of Ownership
• Software License
• Implementation
• IT Administration
• Business Administration
34. Business Discovery:
Business User-Driven BI
Insight
Everywhere
App Model
Remixability
and Reassembly Social and
Collaborative
Mobility
Finance HR
Sales
Marketing
IT
Production
35. What makes QlikView different?
1. User Experience: QlikView is highly flexible and intuitive with a lower learning
curve than competing products. Our clients are able to deploy large internal and
external (customer) user bases.
Proof: Gartner’s 2013 MQ ranked QLIK #1 in terms of ease of use for end users.
68% of the customers surveyed selected QLIK due to ease of use.
2. Rapid Development: QlikView is an agile development tool that provides
capability to integrate multiple data sources and build visual analytics in a very rapid
timeframe. Typical turnaround is days to weeks. Change the way Citi uses BI.
Proof: IDC reports that average time to deploy a BI solution is 18 months.
3. Lowest Total Cost of Ownership of the Top 10 BI solutions.
Proof: Gartner reports that QlikView has the lowest TCO of any Leader or
Challenging vendor in their 2012 MQ report.
36. QlikView Unique Patent: Associative Search Puts Users in Control
Region
State
Product
Sales
Person
IT Driven
• Linear, pre-defined thinking
• Insights missed in hidden data
• Months to change
• Data-centric
User Driven
• Follows the user
• All data, always visible
• Minutes to change
• Insight driven
Traditional BI Vendors: Linear QlikTech: Associative
Region
Product
State
Sales
Person
37. The unique customer experience at QlikTech
- Operational Excellence
BI Initiative Success and Satisfaction
• 96% of customers are satisfied with QlikView
ROI (Return On Investment)
• 150% Return On Investment
Time to Value
43% deployed QlikView in 1 Month
82% deployed QlikView in 3 Months
59% reduction in information access and analysis time
-100 0 100
Findings from independent survey of QV
Financial Services customers
38. QlikView’s Uniqueness: Better for Users
Rapid time to
value
Associative
experience
Speed-of-
thought analysis
Access to
business
data―from
anywhere
User-centric
interactivity