Transforming Financial Services With Big...
Transcript of Transforming Financial Services With Big...
1© Cloudera, Inc. All rights reserved.
Transforming Financial Services With Big Data
Steve Totman, Chief Data OfficeFinancial Services Industry [email protected]
Feb 8th, 2018
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<1%of unstructured data
is analyzed or used at all
<50%of structured data is actively used in making decisions
80% of analysts’ time
is spent discovering and preparing data
>70%of employees have access to data they
should NOT
Extracting value from data – an untapped opportunity
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We empower people to transform complex data into clear and actionable insights
DRIVE CUSTOMER INSIGHTS
CONNECTPRODUCTS & SERVICES
(IoT)
PROTECTBUSINESS
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We deliverthe modern platform for machine learning and
analytics optimized for the cloud
ENTERPRISE GRADE
✓ Secure
✓ Performant
✓ Compliant
SCALABLE
✓ Elastic
✓ Cost-effective
✓ Lower TCO
RUNS ANYWHERE
✓ Cloud
✓ Multi-cloud
✓ On-premises
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Cloudera Overview & Financial Services Focus
3000+Strong Partner
Ecosystem
+
1600 Employees Globally
+
19 Of the 30 G-SIBs Run on Cloudera
Strong Focus & Momentum in Financial Services
3 Of the Fortune 500 Top 5 Insurers Run
on Cloudera
5 Of the Top 6 Asset Management Firms
Run on Cloudera
250+ Financial Services Customers
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DRIVE CUSTOMER INSIGHTS CONNECT PRODUCTS & SERVICES (IoT) PROTECT BUSINESS
Using Deeper Customer Insight to Personalize Customer Solutions
Risk, Fraud, Compliance Powering predictive analytics to reduce ATMs out-of-service repair
Creating new revenue streams with an advanced anti-fraud solution
Cloudera powering data-driven financial customers
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Key drivers of digital transformation in financial services
Proliferation of Data
Unstructured and structured data growing at unprecedented rates, due to mobile apps and
IoT
Digital Disruption and Shift Towards Omni-Channel
BankingConsumers demand an enhanced experience. FinTech, InsureTech
startups threaten the status-quo
Escalating Fraud Costs and Increasing Cyber
Attacks The complexity and
scale of financial fraud and
cyber attacks is rising.
Regulations and Compliance
Changing regulatory environment requires firms to be more agile to meet compliance
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CUSTOMERS700+RUN SPARK ON CLOUDERA
CUSTOMERS750+RUN IMPALA ON CLOUDERA
MACHINE LEARNINGPATTERN RECOGNITIONANOMALY DETECTIONPREDICTION
ANALYTICSSELF-SERVE INTELLIGENCEREAL-TIME ANALYTICSSECURE REPORTING
ENTERPRISE-PROVEN MACHINE LEARNING AND ANALYTICS
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Cloudera Enterprise
9
The modern platform for machine learning and analytics optimized for the cloud
EXTENSIBLE SERVICES
CORE SERVICES DATA
ENGINEERINGOPERATIONAL
DATABASEANALYTIC DATABASE
DATA CATALOG
INGEST & REPLICATIONSECURITY GOVERNANCE WORKLOAD
MANAGEMENT
DATA SCIENCE
Amazon S3 Microsoft ADLS HDFS KUDUSTORAGESERVICES
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• Unified security – protects sensitive data with consistent controls, even for transient and recurring workloads
• Consistent governance – enables secure self-service access to all relevant data and increases compliance
• Easy workload management – increases user productivity and boosts job predictability
• Flexible ingest and replication – aggregates a single copy of all data, provides disaster recovery, and eases migration
• Shared catalog – defines and preserves structure and business context of data for new applications and partner solutions
Open platform servicesBuilt for multi-function analytics | Optimized for cloud
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Run anywhere. Deploy any way.
Simple Unified Enterprise
Proven at scaleTrusted security
Hybrid or multi cloudPlatform-as-a-Service
Simplifies operationsWorks with your tools
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8%of corporate workloads
are in the cloud(1)
12%of business analytics market in cloud
growing at 25% CAGR to 2020(2)
22%of customers run
in the cloudEnterprise grade | Scalable | Runs anywhere
1. Citi estimated that, in 2015, 8% of corporate workloads were in the cloud2. IDC estimated that, in 2015, 12% of business analytics market was in the cloud growing at a 25% CAGR to 2020
Cloudera in the cloud era
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Our most successful customers do these five things
1) Build a data-driven culture
2) Develop the right team and skills
3) Be agile/lean in development
4) Leverage DevOps for production
5) Right-size data governance
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• Machine learning and analytics platform
• Enterprise scale, security, and performance
• Cloud-native and cloud-differentiated
• Open-source innovation and efficiency
• World-class partner ecosystem
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“Data ages like a good wine… Apps age like fish.”
- James Governor, RedMonk
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Where is financial services data?Traditional Data Plus New Data Sources
Key Structured Data Sources/ Systems Key Un/Semi-structured Data Sources
Risk Data CRMCore banking Systems
ATM Data
Other/Legacy Platforms
.
ClickstreamData
SocialMedia
Customer Sentiment
Location/e-Comms Data
Machine Data
Documents, Videos, Call Center Records
Apps DataPayment/transactions
Website and log data
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Traditional and Alternative Data Sources
Patterns in Market Data
Satellite Image Analysis
Simulation for Strategy Modeling
News Feeds for Economic Forecasting
Market Sentiment Localized Pricing
Risk Assessment Compliance
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Putting big data to work across financial services Customer Journey/360 Risk & Compliance
Financial Crime
Customer Loyalty,
RetentionPersonalizationNext Best Offer
Risk Analytics, Underwriting,
Actuarial
BASEL,BCBS-239,
FRTB, IFRS-9
Risk Aggregation, Stress Testing
AML,Payments
Fraud
Insider Threats Cyber Security Investment
Research
Portfolio Analytics, Robo-
Advisors
IoT, Blockchain,
ML/AI
Product & Service Efficiencies
Modern Data ArchitectureETL/ Warehouse Optimization, Active Archive, Storage Optimization & Embedded Analytics
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Adoption of Cloudera in FSI – Circa 2010-2014
Modernize Architecture
• ETL Offload• Data Warehouse
Optimization• Storage/Archive
Optimization• New Data Sources -
Structured / Unstructured
Lower Business Risks
• Risk Aggregation and Modeling
• Regulatory Compliance
• Fraud• Trade Surveillance• Algo back-testing
Drive Customer Insights
• Proactive Care/Customer JourneyScience
• Churn Analysis• Personalization• Up-sell/Cross-Sell• Next Best Offers• Contextual Offers &
Services
New & Rapidly Growing
• Cyber Security
• Machine Learning
Improve Product& Services Efficiency• Trade &
Investment Research
• Tick Data Storage• AML• Internet of Things
Initial Adoption/Use Case
Expansion into Strategic Initiatives
Growing Focus on Revenue
Generation
C Level / Board Level Priority
Continued Expansion into Strategic Initiatives
6-9
mon
ths
6-9
mon
ths
6-9
mon
ths
6-9
mon
ths
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Data-driven journey for today’s customers
BUSINESS VALUEU
SE C
ASE
TYP
ESTACTICAL
VISIBILITY
PRODUCTIVITY
BUSINESSTRANSFORMATION
STRATEGIC
Canadian Bank ● 15 use cases● 13 months● Fraud, Risk , AML● Fully PCI certified cluster● 1 petabyte of ingestion● 200 person BI staff● 12 Hadoop admins
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BARDESS ANALYTICS VALUE CHAIN
Incr
easin
g Bu
sines
s Valu
e
A systematic approach to conceptually visualize the
strategic journey to insightful
business analytics.
z2h Stack®Modernize your architecture to take advantage of a “schema on read” data-lake approach to data storage and massively parallel processing of Hadoop.
Democratize your data further by empowering business users to prep their data for analysis. Enable DaaS with governance.
Identify patterns, relationships and outliers in vast amounts of data in visually compelling ways.
Apply, Artificial Intelligence (AI), Machine Learning (ML), predictive, prescriptive and geospatial capabilities to further leverage your data assets.
Solution Provider of the year 2016
Innovation Provider of the year 2017
Storage &Processing
VisualAnalytics
AdvancedAnalytics
DataPreparation
Enterprise Data Hub- Single place for all data- Secure- Governed- Managed
The Blockchain -Ripple Transactions
Core Banking Systems
+
Analysis - Insight
Use case – AML @ POMBAR bank –getting a complete picture across all transactions –traditional systems and the blockchain
INSIGHT ACTIONDATA
ANALYZE
DATAENGINEERING
ANALYTICS& REPORTING
DATASCIENCE
OPERATIONALPROCESSING
Data Analysis Life Cycle - INFINITY LOOP
Creating New Revenue Streams with an Advanced Anti-fraud Solution
• Dramatically improved search accuracy• 5X increase in number of searches
supported annually and 25X increase in searches per customer daily
• Increased revenue through new market expansion
CUSTOMER 360
FINANCIAL SERVICES » FRAUD PREVENTION» PRODUCT INNOVATION» SERVICE IMPROVEMENT
Delivering Deep Insights and Best
Practices in Big Data Security &
Compliance
• First PCI Certified Hadoop platform
• Optimizes EDW and improves fraud
detection and prevention
• Secures 16 PB in a PCI-compliant
manner every day
• Security Information Event
Management (SIEM) - monitor access
to sensitive datasets, full audit trail of
user behavior
FINANCIAL SERVICES
» DATA SECURITY
» FRAUD PREVENTION
» IT COST REDUCTION
Applying Predictive Analytics to Retain Human Capital & Monetize Data
• DataCloud aggregates data from 600K clients to prevent employee churn, ensure salary equality, and maximize human resources
• Clients focus retention efforts on employees with highest flight risk
• Tremendous growth among client base drives greater revenues
CUSTOMER 360
BUSINESS SERVICES» DATA MONETIZATION» PREDICTIVE ANALYTICS» PRODUCT INNOVATION
Improving Credit Data Processing Speeds—down to the millisecond
• Delivers instant access to aggregated financial data in cloud
• Enables organizations to make critical business decisions in milliseconds
• Solves complex credit underwriting problems using machine learning
CUSTOMER 360
FINANCIAL SERVICES» SERVICE IMPROVEMENT» SCALABLE PROCESSING» MACHINE LEARNING
Fraud Reduction & Personalized Pricing• Consolidated real-time, internal and
external datasets in an EDH• £5 million claim cost reduction
through fraud prevention• 50% increase in customer retention• Doubled policies issued in 18 months• Can now analyze 10s of millions of
quotes in under a minute• Machine learning for personalization
of insurance quotes; improved accuracy over time
FINANCIAL SERVICES» PRODUCT INNOVATION» CUSTOMER 360°» FRAUD PREVENTION
BANKING
» PRODUCT INNOVATION
» SERVICE IMPROVEMENT
» FAST DATA INGESTION
CUSTOMER 360
Building a Near-Real-Time Transactional
Analytics System
• Enables customers to analyze spending
patterns
• Captures, transforms, enriches, counts,
and stores a transaction within a few
seconds of card purchase
• Calculates trend information by account
holder across time periods, categories,
and retailers
Santander Group
Enhancing Enterprise Data Management and Performance Initiatives
• Proactive identification and resolution of issues
• Keeping employee productivity high and improving service delivery
• Improving infrastructure performance, capacity, and analytics
CUSTOMER 360
FINANCIAL SERVICES» INFRASTRUCTURE OPTIMIZATION» SERVICE & PROCESS IMPROVEMENT» OPERATIONAL ANALYTICS
Using Deeper Customer Insight to
Personalize Customer Solutions
• Provides 360-degree customer view to
improve marketing effectiveness and
efficiency
• Enables real-time quoting of premiums
based on risk
• Analyzed customer data against 210
million U.S. survey database records in
15 seconds
CUSTOMER 360
FINANCIAL SERVICES
» 360 CUSTOMER VIEW
» PREDICTIVE ANALYTICS
» OPERATIONAL ANALYTICS
Better Predicting Risk and Confirming Compliance
• Uncovers correlations between exchange rates and transaction volumes in specific communities
• Improves risk-decision process with predictive analysis on datasets in same store at time of transaction
• Enhances AML compliance
CUSTOMER 360
FINANCIAL SERVICES» FRAUD DETECTION» PREDICTIVE ANALYTICS» FAST DATA INGESTION
Thank youSteven [email protected]@steventotman