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WITH YOU TODAYData Analytics Problems faced by lending institutions
Digital Transformation Survey Results
Real-world examples
How to get started
Bill TopelFinancial Services Market LeaderBDO Digital
Rob WellenData Analytics & AI Market LeaderBDO Digital
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
WELCOME
This webinar is being recorded. CPE credit is not available for this webinar.
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Data Analytics Problems Faced by Lending Institutions
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
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Key Business Trends & Market Drivers
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
INTEREST RATES: 50%+ of margin comes from Interest Revenue Margin pressure will force
• Optimization critical processes• Product expansion for new revenue streams• M&A to drive additional top line revenue & add customers
FINTECH DISRUPTION: Market Share Threats New Startups offer rapid innovation
• Digital/Omni Channels options must exist Non-Traditional Players drive middleman out
• Customer/Prospect outreach required
HYBRID WORK: Challenges Infrastructure More online access is driving
• Workplace management and measurement• Virtualization and Application innovation• Cyber & Compliance adjustments
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Lenders are Fighting a Multi-front Digital War
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
AND THE FRONTIERS ARE SHIFTING
The challenger bank strategy playbook is
expanding
Opening banking to underserved and
unaddressed markets
Taking aim at bank fees and customer
experience
Posing new threats by adopting disruptive technology
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Lending Reimagined
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
THE NEW FRONTIERS THAT MATTERThe battlefield for Banking, Credit Unions and Financial Services is not exactly about technology – it is about customer experience of which technology is an enabler and a key part. Banks have always been adopters of technology, in many cases
though, the focus has been primarily on cost FinTechs utilized technology differently, by engaging with the
customer better, cutting through red tape, and making the customer’s life better and sometimes, even fun
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Lending Reimagined
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
EXPERIENTIAL BANKING
Integrate into the lifestyle of the
customer and the outcomes they seeke.g., Not selling a
mortgage by helping “buy a dream home”
OPENBANKING
Increasinglysharing data with
whoever the customer dictates, is
fast becoming the regulatory mandate and a marketplace
imperative
DATAREGULATIONSDealing with
regulations that govern the massive
amounts of customer data a bank retains
while using it in meaningful ways
ECOSYSTEM INNOVATIONS
Banking is being unbundled and marketplace innovations if
integrated right makes a bank
boundary-less, and on the cutting edge
CLOUD
Inherent benefit of a cloud-based model is that it helps create a
flexible and agile base to respond to a
new service opportunity or a new
customer segment
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Digital Transformation Survey Results
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
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Digital strategies are accelerating
rapidly
Upskilling top strategies for
workforce adoption
Digital capabilities usher in higher
standards for CX
Technology dominates
competitive advantages
Our latest survey explores 100 C-suite executives’ plans around digital adoption, improving the customer experience, change management, competitive differentiators and more. Here’s what we found:
Digitizing Financial Institutions and Specialty Finance Organizations
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
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Organizations now realize that access to data-driven insights enables faster pivots. Still, Most are in the early stages of data analytics maturity.
Data Analytics Maturity Lags
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Use analytics on an ad hoc basis for specific needs
Primarily use analytics for real-
time reporting
Say insights from data exist in
dashboards that few can access
Use advanced analytics, including
forecasting and predictive models
Adopted machine learning and deep learning algorithms
12% 36% 20% 28% 4%
Maturity Level
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34%
42%
43%
46%
54%
Increasing headcount
Comprehensively re-imaginging roles
Decreasing headcount
Developing an AI-enabled workforce strategy
Workforce reorientation toward strategic initiatives
CHANGES TO WORKFORCE STRATEGY IN RESPONSE TO AUTOMATION
Automation is Redefining Jobs, Not Killing Them
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Automation will augment the workforce – not eliminate it – either by increasing the speed and quality of work or freeing up employee time to focus on more strategic priorities.
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Data Analytics Emerging Technology Adoption
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
All Respondents Lower Middle Market Upper Middle Market
Already Implemented
Planning to Implement Total Already
ImplementedPlanning to Implement Total Already
ImplementedPlanning to Implement Total
Cloud computing 83% 13% 96% 78% 20% 98% 87% 7% 94%
Data analytics 79% 19% 98% 85% 13% 98% 74% 24% 98%
Enterprise resource planning software 69% 25% 94% 63% 33% 96% 74% 19% 93%
Internet of things 61% 29% 90% 54% 33% 89% 67% 26% 93%
Artificial intelligences/machine learning
61% 35% 96% 52% 39% 91% 69% 32% 101%
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All Respondents Lower Middle Market Upper Middle Market
Already Implemented
Planning to Implement Total Already
ImplementedPlanning to Implement Total Already
ImplementedPlanning to Implement Total
Robotic process automation 47% 40% 87% 50% 37% 87% 44% 43% 87%
Blockchain/digital ledger technology 38% 55% 93% 44% 52% 96% 33% 57% 90%
Virtual/augmented reality 32% 54% 86% 26% 54% 80% 37% 54% 91%
5G 15% 69% 84% 20% 61% 81% 11% 76% 87%
3D printing 13% 17% 30% 15% 20% 35% 11% 15% 26%
Data Analytics Emerging Technology Adoption
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Financing Innovation
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
HOW ARE YOU PAYING FOR IT?
All Respondents Lower Middle Market
Upper Middle Market
Working capital 58% 52% 63%
Private funding 47% 57% 39%
Public equity 33% 39% 28%
Joint venture 23% 13% 32%
R&D tax credits & incentives 22% 15% 28%
Sale or divestment 15% 13% 17%
Government grants 14% 13% 15%
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Summary – Data Driven Outcomes
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
AZURE VIRTUAL NETWORK
MasergyMPLs
MasergyMSSP
Services
Secure Private Connectivity
viaExpressRoute/
VPN
Azure PolicyNIST Cybersecurity Framework
Azure Data Factory Azure Synapse
REPORTING
PowerBIReporting Services
Excel
Azure Data Lake Storage
Azure Analysis Services
Azure Data Factory Azure Synapse
Azure Data Lake Storage
Azure Analysis Services
Azure Data Factory Azure Synapse
Azure Data Lake Storage
Azure Analysis Services
PRODUCTION VIRTUAL NETWORK
Azure Data Factory Integration Runtime
ADF Private Endpoint
Data Lake Private Endpoint
TEST VIRTUAL NETWORK
Azure Data Factory Integration Runtime
ADF Private Endpoint
Data Lake Private Endpoint
DEVELOPMENT VIRTUAL NETWORK
Azure Data Factory Integration Runtime
ADF Private Endpoint
Data Lake Private Endpoint
LOGGING AND MONITORING
SOURCE DATA
APIEncompass
ExcelFinastraFiserv
MeridianLink
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Loan Portfolio Overview
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Summary Volume Value
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Loan Balance Testing
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Detail Testing Payments
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Interest Income Testing
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Interest Tolerance
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New Loans Routine
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Count Origination
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TDR Loan Analyzer
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Loan Volume Rates Ratios
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Credit Grade Analyzer
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Score Status
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LTV Summary
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Grade Value
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Loan Delinquency Analysis
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Outstanding Type
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FINANCIAL SERVICES INDUSTRY
To Compete in Fintech, Banks Must Build on Pandemic-Driven Digital Transformation
Paycheck Protection Program (PPP) Loan Forgiveness & Eligibility
2020 Financial Services Digital Transformation Survey
2021 Financial Services Digital Transformation Survey
BUSINESS & DIGITAL TRANSFORMATION
2021 Middle Market CFO Outlook Survey
Expanding our Solutions Through the Addition of DemandGen International, Inc.
2020 Digital Transformation Survey
Develop A Digital Strategy | Business Need
Thought Leadership
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
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STEP 1 STEP 2 STEP 3 STEP 4
Deep Dives
Deep dive for 1-2 priority use cases Evaluate current data environment and business needs
Architecture Feasibility
Propose technical architecture
design of Microsoft Azure Cloud components
Workshops
Review business analytics needs
including key users and use cases
Visualization
Storyboard mock-up visual of the prioritized use
cases
RECOMMENDATIONS Business drivers & strategic
objectives 1-2 Focused use cases Functional outline Technical outline &
architecture feasibility Stakeholders & ownership Storyboard mock-up Deployment plan
Data overwhelm is real and getting everyone on the same page is critical. Our practical approach will help you identify the data you really need and deliver the reports you need to make smarter decisions.
Delivery Approach: Rapid Data Assessment
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
“How can I best leverage my data to make better business decisions?”
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TOTAL | 10-12 Weeks Team makeup - Data Engineer, Data Visualization Specialist, Technical Team Lead, Project Manager
Platform Foundations & Discovery
Platform setup, configuration, data exploration, and discovery.
Data Engineering & Customization
Data processing and replicating calculations in Azure.
Data Visualization
Creation and refinement of PowerBI dashboards. Three use cases can typically be covered in this timeframe.
WEEK 0 WEEKS 1 – 6 WEEKS 5 – 9
A framework to setup, create and manage a lightweight and elastic platform to ingest, transform, and engage your users.
Delivery Approach: HERO Path
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
CONTACTS
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Bill TopelFinancial Services Market Leader BDO [email protected]
Ways to Engage
BANKING ON ANALYTICS: HOW TO LEVERAGE DATA AND AI IN THE FINANCIAL INDUSTRY
Rob WellenData Analytics & AI Market LeaderBDO Digital
Contact BDO Digital www.bdo.com/digital/contact
Real-world client examples:www.bdo.com/services/business-financial-advisory
Insightswww.bdo.com/digital/insights