Data migration needs to be Quick, Efficient and Cost Effective
Over 75% of cloud implementations are delayed due to data issues.
These are often detected late in the day and result in increased project costs.
Data migration is generally ad-hoc with very little business ownership and visibility. This leads to lost time, reduced confidence and fatigue in the business users providing the data.
For many organisations living with poor quality data is business as usual.
Extraction
Incremental extracts and updates
Transformation
Enrichment
Cleanse
Target file generation
Load and error handling
Reconciliation
Data management
Feedback and visibility
Data insights
Template Documents
Reduced Testing
Template Build
Performance Tested Components
Iterative process with version controls
Metadata driven rules for validations (mandatory, lookups) and transformations (mappings, copy columns)
Deduplication and cleanse that is automated, assisted or user driven
Data users work with familiar Excel format with export/import from DMOne
Improved Visibility
Enhanced Monitoring
Early insight into data issues
Less code/ No code
Greenfield
Implementation
One ERP To Another
(cloud migrations)
Many Sources To
One Target
Onboarding New
Business Units (BAU)
Master Data
Management
SAAS to SAAS
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