Symcor, formed by three major Canadian banks, is evolving into a digital and data services provider to enhance operational excellence and customer experience. They are focusing on combating the growing issue of fraud—estimated to cost Canada nearly $2 billion—through a new fraud platform that utilizes advanced analytics and partnerships with leading technology firms. The company's implementation of comprehensive data governance policies and advanced technologies aims to improve client data protection while delivering effective fraud detection and prevention services.

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Security and Data governance – Next Generation Analytics

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• Symcor was formed by 3 of the largest banks in Canada and has, for
over 20 years, proven our ability to work effectively in a utility service
structure. We are a leading business processing and client
communications provider in Canada supporting major banks,
telecommunications, insurance, and retail companies.
• We deliver value-added solutions for our clients that enable
operational excellence and enhance customer experience. We add
value through best-in-class service, the latest technology solutions
and digital delivery design thinking capability.
• Symcor is now on a digital transformation journey where we are not
only growing our business in the digital and data services area, but
also leveraging key strategic partners such as Hortonworks,
Informatica, HPE(voltage security) to help drive innovation,
enterprise-grade solutions and data governance.
Background

3. What’s changing in our Market
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• Symcor is transforming itself into a digital and data services provider,
supporting and partnering with our clients as they shift to digital
channels.
• Additionally, fraud is a growing problem – growing in both incidents
and complexity. In Canada, we estimate that the total impact of fraud
is close to $2 billion – stemming from both losses and cost of
operations.
• These opportunities open the door for Symcor to offer industry-
leading digital and data services initially to detect and prevent current
and emerging fraud.
• One key to our success in these areas has been supported through
leveraging key strategic partners such as Hortonworks.
• Hortonworks has worked with us to support our vision to transform
our business with industry-leading solutions to drive digital and data
services for our customers.

4. What are the primary business initiatives?
• We see our digital and data services offering as one of our key business initiatives as we see a great potential
with the move to digital channels.
• As part of that, Symcor has launched a fraud platform leveraging next generation analytics, machine learning
and advanced Al to provide fraud detection and prevention services to our clients.

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• One of our most significant challenges in the delivery of digital and
data services in a manner that protects client data
• Symcor’s Privacy and Data Governance team designed a
comprehensive policy to empower the ethical use of data for fraud
detection and prevention.
• Hortonworks, Informatica and HPE(Voltage) were able to provide us
with industry-leading solutions that allowed us to realize our
comprehensive data governance policies through technology
solutions.
What were the challenges?

6. What did the platform have to deliver?
The Platform had to deliver the following items:
• Gain fraud insights from networked data across multiple sources
• Collaborate with industry peers
• Benefit from industry-leading data governance and security controls
• Easy integration
• Process Petabytes of data from various data sources

7. USE CASE – Fraud prevention and detection single view
Fraudster A
Account at FI 1
Fraudster B
Account at FI 1
Cheque 1 mobile
deposited at FI 1
Fraudster B Line
of Credit
Cheque 1 Deposited to
pay off Fraudster C card
FI
2
Fraudster C Line of
Credit linked to
employer 2
Cheque 1 mobile
deposited at FI 2
Cheque 1 Deposited to
pay off Fraudster A card
FI
3
FI
4
FI
1
Fraudster E
Account at FI 4
Cheque 1 mobile
deposited at FI 4
Fraudster C
Account at FI 2
Fraudulent
Employer 2
Fraudulent
Employer 3
Fraudster A
Auto Loan
Fraudster A & B
Mortgage
Fraudster F Credit Card
Fraudster F
Account at FI 3
Address 2
Home Address 1
Fraudulent
Employer 1
Cheque 2 mobile
deposited at FI 3
Fraudster G
Account at FI 3
Fraudster G
Mortgage
Line of Credit
Fraudster H
Account at FI 3
Line of Credit
Fraudster X
Account at FI 1
Cheque 1 Deposited to
pay off Fraudster A card
Cheque 2 mobile
deposited at FI 1
Cheque 2 mobile
deposited at FI 2
Fraudster D
Account at FI 2
Private & Confidential - Symcor

8. Symcor’s Digital and Data Services uncovers the Network
Fraudster A
Account at FI 1
Fraudster B
Account at FI 1
Cheque 1 mobile
deposited at FI 1
Fraudster B Line
of Credit
Cheque 1 Deposited to
pay off Fraudster C card
FI
2
Fraudster C Line of
Credit linked to
employer 2
Cheque 1 mobile
deposited at FI 2
Cheque 1 Deposited to
pay off Fraudster A card
FI
3
FI
4
FI
1
Fraudster E
Account at FI 4
Cheque 1 mobile
deposited at FI 4
Fraudster C
Account at FI 2
Fraudulent
Employer 2
Fraudulent
Employer 3
Fraudster A
Auto Loan
Fraudster A & B
Mortgage
Fraudster F Credit Card
Fraudster F
Account at FI 3
Address 2
Home Address 1
Fraudulent
Employer 1
Cheque 2 mobile
deposited at FI 3
Fraudster G
Account at FI 3
Fraudster G
Mortgage
Line of Credit
Fraudster H
Account at FI 3
Line of Credit
Fraudster X
Account at FI 1
Cheque 1 Deposited to
pay off Fraudster A card
Cheque 2 mobile
deposited at FI 1
Cheque 2 mobile
deposited at FI 2
Fraudster D
Account at FI 2
Cheque 1 mobile
deposited at FI 3

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• Symcor’s big data environment powered by Hortonworks was built for the purposes of
detecting and preventing fraud for its clients.
• Our digital and data services deliver the following features:
Symcor’s Solution to Digital and Data Services
• Secure onboarding of data
• Data for the purpose of fraud research and fraud-prevention services.
• Development and testing of new fraud-related services.
• Dedicated environment for the deployment and execution of fraud detection
services
• Data governance

10. USE CASE DATA INGESTION?
• Symcor ingests and loads data from different sources into the data
lake.
• User access is isolated on a case-by-case basis and granted through
specific security approval processes for defined periods of time. Ranger
and Active Directory helped deliver on this requirement.
• Atlas is key in helping us create that lineage view for our Hadoop
clusters.

11. FRAUD RESEARCH?

12. SERVICE DELIVERY?

13. Technology Stack Overview
deployment Design - Technology Stack Overview
Technology Stack Overview
Hadoop
Yarn Data Lake
Data Science
User
Informatica
Management
Servers
BDM «process»
BDM
Relate 360
Qlik Sense
Qlik Central
Server
HPE Data Security
SecureData
Security
SecureStorage
Apache
Ranger
Apache
Knox
Atlas
Active Directory

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Questions?Questions?