dpm sapphire 2012
TRANSCRIPT
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SNP T-Bone
Data Provisioning & Masking
SNP – The Transformation Company
Melvyn Scofield
05.2012
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Agenda
Introduction
Challenges & Solution approach
Features and Benefits
TDMS vs. DPM
References
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Introduction to SNP and test data management
SNP is the leading provider of software for SAP® transformations
(splits, mergers, consolidations, …)
Software: SNP Transformation Backbone (T-Bone)
Experience, know-how from over 1400 successful transformation projects worldwide
Extensive track record in SAP® test data since 2005
In Business Since 1994 with offices in US,
Germany, Austria, Switzerland and South Africa
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Challenges of test data management
Manual process and work effort
Full copy - Huge systems
Time to deliver
Test systems not current and rarely updated
Hard to protect sensitive data
Poor data quality in development systems
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SNP Solution Approach
Task automation
Flexible and fast data provisioning
Selective, intelligent sub setting
On-the-fly masking / scrambling
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Automation
Flexibility
Feature highlights
Flexible and intelligent selection criteria for sub setting
Rich set of predefined, customizable scenarios
Robust, scalable platform engine for fast data migration
Parallel processing and optimum utilization of the hardware
User friendly interface for configuration
and monitoring
Consistent scrambling at field level
– on the fly during transfer or on existing systems
Direct data transfer using SAP® RFC or file interface
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Solution Architecture
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Data masking features
On-the-fly masking on field level during data transfer
Defined using simple rules through customizing activities
Option to define complex rules as function modules
Masking rules are applied before any data leaves the production environment,
Ad-hoc masking option for existing test environments
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SNP T-Bone Data Provisioning and Masking – Benefits
Easy to setup, learn and operate
Fast ROI through
small, lean test and training systems (Hardware)
less effort for refreshing systems (post processing)
reduced effort and time for deployment of changes
Faster development with better data quality
Better QA processes with most current data
Secure and compliant data provisioning
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Competitive analysis: TDMS vs. DPM
Inflexible scenarios
Slow - Data transfer via
central system
Limited to small data volumes
Rigid UI design
Flexible, intelligent combination of
selection criteria
Fast - Direct data transfer
Handles huge data volumes
User friendly flexible interface
Sender
Receiver
Central
Source
Target
T-Bone
Data
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Hornbach
AXA
DZ-Bank
Selected DPM customers
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Summary
SNP T-Bone Data Provision and Masking is:
A proven, solid solution
Based on vast experience
Best-in-class data subsetting and masking
Built on a solid foundation – the SNP T-Bone platform
Saving you time and money – give it a try !
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QUESTIONS
CUSTOMER
SITUATION
NEXT STEPS
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Backup slides
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Project Examples
Customer Customer Requirements Benefits
Telco Provide actual and scrambled test
data for offshore resources in a fast
and efficient way
Fulfillment of data protection laws
4 data refreshes per year instead
of 1
Industry
Build up a small training client with
productive data for PM employee
training
Improved quality of training
Time & cost reductions
for system refreshes
Retail Build up a system with 10 training
clients which should be refreshable
overnight with 0.3% of the original data
volume
Reduction of storage usage
Time & cost reductions
Flexibility
Improved quality of training
Industry Build up multiple clients out of one
source client for training purposes
Weekly refresh of 12 training clients
Refresh (restore default & import
new data) of training clients over
the weekend -> fast runtime
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Use Cases
Building sandbox systems and project systems
Regularly Refresh of QA systems
Provisioning test data for developers and colleagues working in support
Provisioning selected test data for processing support incidents
Converting names of logical systems on-the-fly
Flexible test data reduction – ensures quality of software and projects at low cost and
with minimum effort
Migrating across different releases
Scrambling of data that needs protection in non-production systems
Performing "post ex" scrambling of existing SAP® clients
Save and reuse of data extracts
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Possible Scenarios
Build sandbox, training and project systems
Regular refresh of QA systems
Provisioning of test data for developers
Provide selected test data objects for processing support incidents
Performing "post ex" anonymization of existing clients
Regression testing
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Content Scenarios
Transferring master data and transaction data of a client without reduction
Reducing transaction data according to time-based restrictions (SAP® ERP)
Transferring master data without transaction data (SAP® ERP)
Selecting master data and transaction data from the following areas using business-
object-related approach:
SAP® ERP
IS-U / IS-T
FS-CD
FI-CA
CML, CFM, Retail
Saving "data containers" in flat files
to restore fixed system statuses over and again
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SNP America Inc.
2010 Corporate Ridge Drive – Suite 700
McLean, VA 22102
Melvyn Scofield
Sales Manager Western Region
Phone: +1 619 300 2298
Email: [email protected]
Contact:
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