© Cloudera, Inc. All rights reserved.
Patrick Angeles
Chief Solutions Architect
Cloudera
Joe Gillespie
Founder & President
Booz Allen’s riskCanvas LLC
BUILD A MODERN PLATFORM FOR AML

© Cloudera, Inc. All rights reserved. 2© Cloudera, Inc. All rights reserved.
AGENDA
Build a Modern Platform for AML
PART 1: Exploration of the Pain Points
• 2018’s Biggest Challenges in Financial Crime
• Solving Data Management Issues
• Single View of the Customer, Transaction Monitoring Efficacy, etc.
PART 2: Technical Deep Dive
• Data Ingest
• Data Processing
• Data Exploration

© Cloudera, Inc. All rights reserved. 3© Cloudera, Inc. All rights reserved.
THE BIGGEST PAIN POINTS
An analysis of the biggest problems facing financial crimes programs
There are several challenges for Financial Crimes
programs in 2018 regardless of the institutions
size. Many of Financial Crime’s biggest issues fall
into one or more of the five categories:
• Transaction Monitoring Efficacy
• Investigation Efficiency
• Single View of the Customer
• KYC / CDD
• Quantifying AML Risk
THE ROOT OF ALL OF THESE PROBLEMS IS IN DATA
MANAGEMENT

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POLL #1
What are your top pain points related to data management for AML / Financial Crimes?
1. Data collection / storage / archival
2. Data quality
3. Data processing and aggregation
4. Data exploration / wrangling
5. Data lineage
6. Single view of customers and transactions
7. Other

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UNLOCKING VALUE FROM DATA
Data Management is a foundational capability $
SOLUTIONS
DATA SCIENCE
BI / ANALYTICS
BIG DATA MANAGEMENT

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CLOUDERA ENTERPRISE DATA HUB
How is it different from legacy platforms?
SEARCHHDFS TABLE NoSQL
DATA ENGINEERING DATA
WAREHOUSING
DATA SCIENCE OTHER
SECURITY GOVERNANCE WORKLOAD
MANAGEMENT
REPLICATION
DATA CATALOG
• Scalable, cost-effective and
flexible storage
• Management layer with
comprehensive data lineage
and security
• Powerful solution for data
aggregation
• Fast analytics over petabytes
of data
• Fully integrated data science
and machine learning
• Extensible open platform

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GLOBAL PAYMENT
PROCESSOR
• Cloudera Enterprise Data
Hub used for archival
• $30M in annual savings
from EDW optimization
• Identified $2 billion in
potential annual fraud
• New revenue streams
from analytics offerings
sold to merchants

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BUILDING THE BANK OF
THE FUTURE
• Brings 1000s of data
sources together at a
fraction of the cost for
cybersecurity, anti-money
laundering, fraud analytics,
and customer marketing
• Drives 90% productivity
improvement for analytics
projects
• Delivers 60% reduction in
data management costs;
98% reduction in storage
costs per TB

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UNIFYING OPERATIONAL AND
NETWORK DATA FOR NEW
SERVICE INSIGHT
• Increased customer ratings
through improved service,
identifying join time delays
in real time
• Identified 17X more fraud to
help prevent costly
fraudulent meetings
• Delivered platform at 1/10
the cost of traditional data
warehouse and BI
environments

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THE CHALLENGE
Balance these needs
DATA SCIENCE / ANALYTICS
• Access to granular data
• Flexibility
• Preferred tools
• Algorithms
• Reproducible research
• Path to production
• Self-service access
DATA MANAGEMENT
• Security
• Governance
• Standards
• Low maintenance
• Low cost
• Self-service access

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CLOUDERAENTERPRISE+ DATA SCIENCE WORKBENCH
Accelerate Machine Learning from Research to Production
For data scientists
• Experiment faster
Use R, Python, or Scala with
on-demand compute and
secure EDH data access
• Work together
Share reproducible research
with your whole team
• Deploy with confidence
Get to production repeatably
and without recoding
For IT professionals
• Bring data science to the data
Give your data science team
more freedom while reducing
the risk and cost of silos
• Secure by default
Leverage common security and
governance across workloads
• Run anywhere
On-premises or in the cloud

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CLOUDERA
ENTERPRISE DATA
HUB
Scalability to handle large
volumes and varieties of data
Power to transform and aggregate
data as needed
Speed for interactive analytics
Agility to enable data science and
machine learning
Security and Transparency for
governance
Open and extendable
HDFS
WORKLOAD
S
DATA
SCIENCE
ANALYTIC
DATABASE
OPERATIONA
L DATABASE
DATA
ENGINEERIN
G
3RD PARTY
SERVICES
COMMON
SERVICES
SECURITY GOVERNANCE WORKLOAD
MANAGEMENT
REPLICATION
DATA CATALOG
STORAGE
KUDU
Microsoft
ADLS
Amazon
S3

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FINANCIAL CRIMES
Revisiting the challenges

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POLL #2
What areas in your financial crimes program need the most improvement?
1. Transaction Monitoring
2. Investigation and Case Management
3. KYC / Customer Due Diligence
4. Single View of the Customer
5. Quantifying AML Risk
6. Other

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RISKCANVAS
Cloudera + riskCanvas Tesseract provide a robust platform for financial crime
data management. With this platform in place, riskCanvas™ provides a suite of
modules which target the remaining challenges for Financial Crimes Programs
including: Network
Analysis
Case
Management
BehavioralAnomaly
Detection
EntityData
Enrichment
Real-Tim
e
D
etection
Investigation
Acceleration
Entity
Risk-Scoring
M
achine
Learning
riskCanvas™
End-to-End
FC Software Suite
riskCanvasAnalyticsSuite
riskCanvas Tesseract™
AML Data Management Platform
Financial Crime Software Suite Built on Big Data

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CLOUDERA ENTERPRISE + RISKCANVAS TESSERACT
Rapid data ingestion and processing for FC data

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TRANSACTION MONITORING DEMO

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CASE MANAGEMENT DEMO

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TECHNICAL DEEP DIVE

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TECHNICAL DEEP DIVE: DATA INGEST
Key Tenets of Successful Data Ingestion
Raw = Better Use a Framework Land in HDFS Choose a Standard
DataLakeStrategy
AML
DATA
LAKE
GOOD
BEST
ENT.
DATA
LAKE
AML
DATA
LAKE
KeyBenefitsofEnterpriseDataLakeStrategy…
• ConsolidateCostofDataMigration
• Consolidateeffortofdataingestionand
upstreammaintenance
• DataGovernance
• Singlesourceoftruth

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TECHNICAL DEEP DIVE: DATA PROCESSING
riskCanvas’sTesseractEngine leveragesthesetoolsinitsautomatedprocessingpipelinetoproducecommon QFDsfor
downstreamexploitation.
CLOUDERA ENTERPRISE DATA HUB
• MessageQueue
• Streamprocessingsupport
• Dataoperationresiliency
• DistributedProcessing
• Efficient, scalabledata
transformation
• Batch orStream
• AI andML support
• DistributedIndex
• Sub-secondtext,geospatial,IP,&
range queries
• Statistics& aggregation
• Unstructuredtext analysis
• DistributedKey-Valuestore
• Heterogeneousdatastructures
• Sub-seconddataretrieval
• Distributedcompute support
• DataLineage
• Auditabilityoftransformations
• Datadictionary
• ExtensiveAPIs
• 3rd Partyintegrations
• SOLR Alternative
• RobustmanagementAPIs
• Dynamic schemas
• Distributed“brain” = more resilient
Navigator

© Cloudera, Inc. All rights reserved. 22© Cloudera, Inc. All rights reserved.
TECHNICAL DEEP DIVE: DATA EXPLORATION
riskCanvas ™
Other Apps
Customer Risk
Scoring
Transaction
Monitoring
Case Management
Operational
Applications
Data Science & Analytics
Data Science Workbench

© Cloudera, Inc. All rights reserved. 23© Cloudera, Inc. All rights reserved.
CLOUDERA ENTERPRISE + RISKCANVAS
riskCanvas
DATA STORE SEARCHHDFS KUDU HBASE
ENTITY
ANALYTICS
TRANSACTION
MONITORING
INVESTIGATIO
N
MANAGEMENT
TESSERACT
DATA
WRANGLING
ANALYTICS
SUITE
WORKLOAD
S
DATA
SCIENCE
ANALYTIC
DATABASE
OPERATIONA
L DATABASE
DATA
ENGINEERIN
G
OTHER
COMMON
SERVICES
SECURITY GOVERNANCE LIFECYCLE
MANAGEMENT
CONTROL
PLANE
DATA CATALOG LINEAGEENTITLEMENTS

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THANK YOU
Resources and Call to Action
solutions@cloudera.com
financialcrimes@bah.com
Visit the Cloudera Solution Gallery to learn more about the solution:
https://www.cloudera.com/solutions/gallery/booz-allen-hamilton-riskcanvas.html
Visit the Booz Allen Hamilton solution page and request a demo:
https://www.boozallen.com/riskcanvas