Human Inference Professional Services offers: 'Move and Improve'
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.
Improving and cleansing data
Improving and cleansing data is often neglected or not taken seriously enough, which leads to disappointing project results in most cases. This causes serious acceptance problems since end-users feel that the outcome of the migration is poor. End-users see the quality of the information only in their new systems or warehouses. What looked like a trivial ETL transformation and load process at the beginning of the project turns out to be a data cleansing up-hill marathon. Consequently, projects run out of budget and out of time. Moreover, a chance is missed to start with a cleansed high quality environment :the acceptance of systems often fails due to poor quality data in any new environment.
Human Inference has built a solution to help partners 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.
For more information click here to download the fact sheet.
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