Move and Improve
Data enhancement in migrations and ETL-processes
Data migrations or ETL processes often involve long-term, costly and high-risk projects. Most of all they require a lot of customer-specific manual scriptwriting. As a result, project teams take only extracting, data manipulation (transformation) and loading into consideration.
In data quality terminology, ETL can address conversion or standardization, but it cannot correct and enhance data. Besides, ETL’s focus is more on data flow, with some data transformation occurring prior to it entering a data warehouse or a new target database. It does not focus on subject-specific data such as customer or product data.
Human Inference offers a solution to help customers improve their data migration or ETL projects. The following features are included:
- Design of (meta) data structures in a target system to secure data quality;
- Improvement of data quality during the ETL project;
- Interpretation of data based on country-specific and culture-specific knowledge;
- Automatic decomposition of source data based on fuzzy logic to significantly improve the automatic load process;
- Decrease of delivery time by combining HIquality tools and experience with the data migration process;
- De-risking of the project by improving acceptance and reducing rework due to data quality errors;
- Add extra value to the migration process by helping the partners merge and enrich data as well as reduce the ROI time of the new system.
Please click here to download the factsheet "Move and Improve".
