Data Migration

Problem

Data migration often involves long-term, costly and high-risk projects. Most of all it commonly requires a lot of complex customer-specific scripts. As a result, project teams frequently take only the extraction, data manipulation (transformation) and loading into consideration. Improving and cleansing data is often neglected or not taken seriously enough, leading to non-standardised data and preventing similar records from being merged.

Solution

Any migration process starts with knowledge-based interpretation. High precision matching and intelligent enrichment will cleanse and improve the data. Subsequently the data are merged based on specific business rules. Human Inference DataHub is an out-of-the-box solution, that combines these steps, to deliver quality data to the target system(s).

Value

• The data quality of your organization is secured of (meta) data structures by design
• Improvement of the quality of the data by using knowledge based interpretation
• Time to delivery is reduced by combining DataHub and experience within the data migration process
• You will find a great improvement in both the data quality and the ability to interpret it properly, based on country-specific and culture-specific knowledge