Data Migration System
Data Migration Framework
Data architects participate from analysis and design to deliver error-free migration
with automated solutions and proven methodology.
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Migration Scenarios
for Minimal DisruptionDefine phased migration strategies and rollback guidelines
to prevent business gaps during system transitions.
Impact analysis and rehearsal validation minimize downtime
and support a stable, uninterrupted transition. -
Automated Program Generation
from Standard Mapping SpecificationsAuto-generate migration programs from predefined mapping rules
to reduce manual errors and accelerate delivery.
Standardized logic ensures code consistency and quickly reflects complex rules,
shortening preparation time for large-scale integration projects. -
Collaboration Between Business
& Data Architect TeamsCreate an integrated process connecting business teams
with data architects (DAs).
Flexible workflows and real-time feedback reflect requirements
in models and mappings, improving data alignment across the enterprise.
Business Continuity & Automated Data Migration
Combine phased migration scenarios with automated mapping to prevent human error and enable real-time collaboration between business and DA teams.
Improve enterprise-wide migration efficiency and data alignment.
- Enterprise Migration Efficiency & Alignment
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01
DA-Led Delivery
- Modelers manage migration from AS-IS analysis onward
- Maintain an integrated view of analysis, design, migration, and testing
- Lead collaboration with application designers and operations teams
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02
Automated Solutions
- Auto-generate migration and validation programs when mappings change
- Minimize human error and maximize development productivity
- Dramatically shorten test data lead times
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03
Migration by Type
- Define strategies to minimize downtime
- Use proven methods such as parallel processing and delta migration
- Support One Source, Multi Target environments
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04
Rigorous Quality Management
- Operate an integrated repository for models and mappings
- Clean data through mapping, migration, and business rule validation
- Optimize performance and ensure alignment through repeated testing
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1
DA & Business Teams
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2
As-Is/To-Be Models
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3
Automated Program Generation
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4
Flawless Migration
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01
DA-Led Delivery
Data Migration Execution
Data Migration Delivery
encore’s proven methodology supports complex migrations involving structural retention or change,
such as conversion from on-premises DBMSs to cloud open-source DBMSs.
Successful experience across diverse environments strengthens the methodology.
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Enterprise Migration
for Stable Cloud TransitionDesign a transition architecture to move on-premises data assets
to the cloud safely and quickly.
Restructure data for cloud-native environments and optimize performance.
Staged, pre-validated migration reduces adoption risk and improves business agility. -
Flawless Migration Based on
Next-Generation System ExpertiseApply experience from large-scale modernization programs, automated tools,
and standard methods to control migration variables.
Strict validation prevents data loss and errors,
enabling reliable system transitions in complex business environments. -
DBMS Difference Analysis &
Optimized Data TransformationAnalyze structural differences and constraints across DBMSs
to ensure data alignment.
Map data types, transform functions, and optimize schemas
to prevent performance loss and logic errors during DBMS changes.
Automation resolves integration challenges and supports optimal operations.
Cloud-Native Modernization & Flawless Data Migration
Advanced transformation technologies and proven migration methods resolve DBMS differences,
reducing cloud transition risks and improving business agility and performance.
- Data Migration Methodology for Modern Environments





