Cox is a leader in vehicle remarketing services and software solutions for automotive dealers and consumers. In this session Cox will discuss the test data pitfalls it is trying to avoid and how it used the CA tool set, Compare and Create and synthetic data creation for every use case. Company reps will discuss how they integrate with open source tools and their new API framework. Learn Cox is putting a plan in place to leverage the new CA Virtual Test Data Manager add-on for CA Test Data Manager and how it is winning the test data management battle. For more information on DevOps: Continuous Delivery, please visit: http://ow.ly/UMiv50g62Li

1. Case Study: Compare, Create, Clone —
The Role of CA Test Data Manager in
Cox Automotive’s Testing Environments
Adam Topper
DO3T020S
DEVOPS - CONTINUOUS DELIVERY
Sr. TDM Specialist
Manheim Auctions

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© 2017 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
The content provided in this CA World 2017 presentation is intended for informational purposes only and does not form any type
of warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA.
For Informational Purposes Only
Terms of this Presentation

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Abstract
Cox is a leader in vehicle remarketing services and software solutions for automotive
dealers and consumers. In this session Cox will discuss the test data pitfalls it is trying
to avoid and how it used the CA tool set, Compare and Create and synthetic data
creation for every use case. Company reps will discuss how they integrate with open
source tools and their new API framework. Learn Cox is putting a plan in place to
leverage the new CA Virtual Test Data Manager add-on for CA Test Data Manager and
how it is winning the test data management battle.
Adam
Topper
Manheim Auctions
Sr. TDM Specialist

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Agenda
WHO IS MANHEIM?
A MATURING TDM MODEL
ROI & WHAT’S NEXT?
COMPARE, CREATE
OPEN SOURCE INTEGRATION
DATA CLONING
1
2
3
4
5
6

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Who is Manheim?

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A Maturing TDM Model

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A Maturing Test Data Model
Early Models Start CA’s TDM Current/FutureBefore TDM
• Automated data
creation
• Fragile Scripts
• Prod Data Refresh
• Long Running jobs
• Prone to error
• No Data Integrity
across DBs
• Data Overwritten
• WYSIWYG
• Manual Creation
of data
• Slow Process
• Few people had
knowledge of data
creation process
• Even fewer
understood full
system impact
• Fast
• Flexible
• Scalable
• Automated
• Platform agnostic
• Focus on making
event architecture
work for us
• Focus on Data
Integrity

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Maximum Impact
With a Small Team
After initial stand-up,
TDM team has
consisted
of two (2) Full Time
Team Members

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Compare and Create

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Compare
 Visualize Metrics and Compare Databases
– Test Data Visualization allows to focus on the data points that
matter and ensure 100% coverage
 Positions Test Engineers as trusted partner in planning
– DB Compare allows for in depth comparison between DBs
 Create data sets that include all unique
combinations
 Confirm that Test DBs are not missing
crucial Prod elements
 See anomalies

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Create
 Complete Flexibility to insert any data anywhere
– Built in functions for variated yet referentially in-tact data
– Highly Reusable Data Pools
– Database Agnostic
– Fail-Proof Audits
– Multiple ways to kick-off builds
(GUI, Scheduled, Batch, API, TDoD)

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Data Cloning

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Data Cloning
 CA Virtual Test Data Manage Database Clones
– Create dependable database checkpoints
– Empower testers by giving full control
– Extend range of testing
 (unit, negative, destructive, etc.)
– Reduce size of DB footprint
– Maximize impact of small team

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A Maturing Test Data Model
Early Models Start CA’s TDM Current/FutureBefore TDM
• Automated data
creation
• Fragile Scripts
• Prod Data Refresh
• Long Running jobs
• Prone to error
• No Data Integrity
across DBs
• Data Overwritten
• WYSIWYG
• Manual Creation
of data
• Slow Process
• Few people had
knowledge of data
creation process
• Even fewer
understood full
system impact
• Fast
• Flexible
• Scalable
• Automated
• Platform agnostic
• Focus on making
event architecture
work for us
• Focus on Data
Integrity
• Highly Reusable
Scripts
• On-Demand
through Open
Source
• Multiple Servers
for increased
scalability
• Rally and Open
Source Integration
• DB Cloning

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ROI 2017
5,500+
650,000
27,000
550
$1.41 MILLION
$1.2 MILLION
15
Total Records Provisioned
Time to Manually Create
Time to Create in TDM
Cost if Created Manually
Total $$$ Saved!
Total Requests Fulfilled

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Questions?

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Must See Demos
Automate
Your
Ecosystem
End-to-end
Theater 3
308
Rapid Test
Data
Provisioning
Theater 3
306
Test Data
for Any Need
Theater 3
307

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Stay connected at communities.ca.com
Thank you.

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DevOps:
Continuous Delivery
For more information on DevOps: Continuous Delivery,
please visit: http://cainc.to/CAW17-CD