Financial firms are under pressure to grow their business while containing risk and complying with many regulations world-wide. In addition, there is the growing demand from customers to improve their experience and offer new services over multiple channels. Data is at the core of these capabilities but there are many challenges to overcome: fragmentation, security, quality, privacy, retention, to name a few. We are going to hear about trends in the industry from IDC Financial Insights Research Director Bill Fearnley, followed by a discussion about how Cloudera has helped Transamerica turn their data into competitive advantage by creating an Enterprise Marketing and Analytics Engine.

1. 1© Cloudera, Inc. All rights reserved.
Big Data as Competitive
Advantage in Financial Services

2. 2© Cloudera, Inc. All rights reserved.
Agenda
• Logistics
• Introductions
• IDC Big Data as Competitive Advantage in Financial Services
• Transamerica Cloudera Use Case
• Cloudera’s Value for Financial Services

3. 3© Cloudera, Inc. All rights reserved.
Participants
Bill Fearnley
Research Director
IDC Financial Insights
John LoGiudice
VP Insights and
Innovation
Transamerica
Vishal Bamba
VP Innovation and
Architecture
Transamerica
Mihaela Risca
Sr. Solutions
Marketing Manager
Cloudera

4. Big Data as Competitive Advantage in Financial Services
Bill Fearnley, Jr
Research Director – Compliance, Fraud & Risk Analytics
IDC Financial Insights

5. A myriad of opportunities & challenges
© IDC Visit us at IDC.com and follow us on Twitter: @IDC 5
Competitive
Advantage
Omni Customer
Experience
Advanced
Analytics
Risk
Management
Personalized
Marketing
Monetize
Compliance $
Automation
Efficiency

6. 6
Technology is the Underpinning of Digital Transformation

7. Managed
Digital Transformer
Opportunistic
Digital Explorer
Ad Hoc
Digital Resister
Repeatable
Digital Player
Optimized
Digital Disrupter
© IDC Visit us at IDC.com and follow us on Twitter: @IDC 7
Source: IDC, Digital Transformation Maturity Model, 2015
IDC’s Digital Transformation MaturityScape
Digital Transformation is the approach by which firms are driving changes in
their business models and partnerships by leveraging digital competencies.
Managed
Digital Transformer
Opportunistic
Digital Explorer
Ad Hoc
Digital Resister
Repeatable
Digital Player
Optimized
Digital Disrupter

8. Managed
Digital Transformer
Opportunistic
Digital Explorer
Ad Hoc
Digital Resister
Repeatable
Digital Player
Optimized
Digital Disrupter
65% of Organizations are
“Digital Explorers” or “Digital Players”
14%
32% 33%
14%
8%
Digital Resister Digital Explorer Digital Player Digital Transformer Digital Disrupter
© IDC Visit us at IDC.com and follow us on Twitter: @IDC 8
Source: IDC, Digital Transformation Maturity Model Benchmark, 2015; n= 317 IT and LOB Executives, March, 2015
Most Organizations Are Just Beginning their
Digital Transformation Journey

9. 9
Customers want
omni-experience
access to data,
information and
their accounts
1
3 Actions Organizations Can Take to Move
from “Digital Explorer” to “Digital Transformer”
Use privileged
access to your
customer info as a
competitive
advantage
2
Grow revenues,
better manage risk
and costs with
connected
services
3

10. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 10
Omni-experience: Change expectations with CX Innovation
The customer journey is
often multichannel
Anytime / anywhere access to accounts & info
Connections: Customers,
partners, and employees
Making it easier for customers & counterparties

11. 11
Mine your data to better
understand your customers
Build personalized offers for
better up sell & cross selling
Access new data & analytics
to monitor markets and risk
Privileged Access to Customers = Competitive Advantage

12. 12
Connected Systems: Revenues, costs & risk management
Digital Service Platforms
Can Create Competitive
Advantages
Improved Transaction
Monitoring to Reduce
Fraud, Waste & Abuse
New Data and Predictive
Analytics to Better Assess &
Manage Multiple Risks

13. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 13

14. Big Data for Competitive Advantage
1 New Insights: Aggregated data & advanced analytics
2 Transaction monitoring: Uncover patterns & anomalies
3 Actionable ideas: Discover, develop & test new ideas
4 Monetizing compliance $: Design systems for data reuse
14

15. 15© Cloudera, Inc. All rights reserved.
John LoGiudice, VP Insights and Innovation
Vishal Bamba, VP Innovation and Architecture
Transamerica Use Case

16. 16© Cloudera, Inc. All rights reserved.
Transamerica Use Case
Business Drivers:
To grow the customer base, discover customer
relationships across divisions, assess data for new
customer insights and develop highly targeted and
individualized marketing programs based on each
customer’s needs.
Challenge:
Data was siloed in disparate data warehouses across its
various business units. Because of this, a single customer
could appear in several systems, with each system
collecting different information.
Solution:
An enterprise platform, which uses Cloudera Enterprise,
serving as a centralized, multi-channel, 360 degrees view
of customers, for planning and analytics. The platform
integrates data from 40 disparate sources.
Transamerica is one of the
world's leading financial services
companies, providing insurance,
investments, and retirement
solutions to more than 20
million people and families
throughout the United States
Outcomes
• Improved customer experience through enhanced analytics
• Better customize marketing efforts
• Test and validate models in one day vs one week
• Analyze customer data against 210 million records in the U.S. survey
database in 15 seconds, which helped identify new patterns
• More accurate predictive analytics
• Increased developer productivity
Technologies in Use
● Apache Hadoop Platform: Cloudera
Enterprise, Data Hub Edition
● Apache Hadoop Components:
Apache HBase, Apache Hive,
Apache Impala
● Data Integration: Informatica Big
Data Edition, Informatica Big Data
Relationship Management
● Visualization and Analytic Tools:
H2O, R, SAS, Datameer, Tableau

17. 17© Cloudera, Inc. All rights reserved.
Mihaela Risca
Sr. Solutions Marketing Manager, Financial Services
Cloudera’s Value for Financial
Services

18. 18© Cloudera, Inc. All rights reserved.
One platform. Many applications.
Data
Engineering
Analytic
Database
Real-Time Data
Applications
Driver Customer
Insights
Improve Product &
Services Efficiency
Lower Business
Risks
Business
Value
Technology
Use Cases
Cloudera Enterprise: Fast, Easy, Secure

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Cloudera Enterprise Ecosystem
Enterprise
Data
Warehouse
Enterprise Data Hub
Data Sources
DataIngest–
StreamingorBatch
Business
Intelligence/
Reporting Tools
Network
Usage
CRM
Inventory
Clickstream Sensors
Machine Logs Social
Billing
Ordering
Structured
Unstructured /Semi-Structured
OPERATIONS
Cloudera Manager
Cloudera Director
DATA
MANAGEMENT
Cloudera Navigator
Encrypt and KeyTrustee
Optimizer
BATCH
Sqoop
REAL-TIME
Kafka, Flume
PROCESS, ANALYZE, SERVE
UNIFIED SERVICES
RESOURCE MANAGEMENT
YARN
SECURITY
Sentry, RecordService
FILESYSTEM
HDFS
RELATIONAL
Kudu
NoSQL
HBase
STORE
INTEGRATE
BATCH
Spark, Hive, Pig
MapReduce
STREAM
Spark
SQL
Impala
SEARCH
Solr
SDK
Partners

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Getting Started is Easy
① ②
Download or Deploy
in the Cloud
Signup for Training Contact us or a Partner
to Start a POC
③
http://www.cloudera.com/solutions/financial-services.html

21. 21© Cloudera, Inc. All rights reserved.
Thank you

22. 22© Cloudera, Inc. All rights reserved.
Cloudera Enterprise
Making Hadoop Fast, Easy, and Secure
A new kind of data platform
• One place for unlimited data
• Unified, multi-framework
data access
Cloudera makes it
• Fast for business
• Easy to manage
• Secure without compromise
OPERATIONS
DATA
MANAGEMENT
STRUCTURED UNSTRUCTURED
PROCESS, ANALYZE, SERVE
UNIFIED SERVICES
RESOURCE MANAGEMENT SECURITY
FILESYSTEM RELATIONAL NoSQL
STORE
INTEGRATE
BATCH STREAM SQL SEARCH SDK
Public Cloud
Private Cloud
Hybrid Environments
Hybrid Deployment
Flexibility

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Selected Subscription Software Customers
Other
Financial
Services
Telecom
Healthcare &
Life Sciences
Public Sector
& Education

24. 24© Cloudera, Inc. All rights reserved.
Putting Big-Data to Work Across Financial Services
Key Use Cases for Cloudera Enterprise Built on Hadoop
Customer Experience Mgmt.
(Customer 360)
Risk & Compliance
Fraud
Customer
Churn
Analysis
Proactive
Customer Care
Up-sell/Cross-sell
Next Best Offer
Personalization
Regulatory &
Economic
Capital
BASEL III,
BCBS239,
FRTB, …
Risk Aggregation
Stress Testing &
Modeling (VaR...)
AML
Payments
Fraud
Insider
Threats
Cyber Security
Investment
Research
Wealth
Management
Trading
Product & Service Efficiencies