The Powerful ETL tool in the CSP
Data form the backbone for every business decisions.
However, if data are to be analysed in a meaningful way, they need to be prepared, enhanced, standardised and placed into relation with each other. Cubeware Importer puts your data into the form that you need in order to gain important insights even faster and more simply.
- Proven reduction in the time needed to implement your data processes
- Increased data quality in your BI processes
- More than just ETL: management, modelling, integration & monitoring of all data precesses with a SINGLE tool
- Visual mapping & scripting in combination or separate from each other
- Custom licensing options for cost-sensitive deployment
Benefit from genuine BI applications
More than just ETL: Cubeware Importer enables you to implement interactive BI applications across your entire information chain and to fully integrate additional applications with your BI processes.
Mapping & Scripting
Visual mappings or scripting? You decided which method you wish to use to develop, manage or extend your data models. Or you can simply combine both methods.
Debugging & Error Handling
Cubeware Importer gives you optimum support in the data loading process with its comprehensive feature set for testing, debugging and optimising data processes and import jobs. You maintain access to all variables at all times and improve the quality of your data, for demonstrably reduced implementation times.
Dedicated ETL tools are often limited to loading and transforming data into existing structures like tables, dimensions and cubes. Different tools are used to create the structures, resulting in fragmented processes during implementation. Errors occur, implementation becomes more complex and maintenance requires greater effort. Cubeware Importer provides both types of function.
The parametrisation option allows you to use Cubeware Importer to intervene at crucial points in process flows and to have a significant influence on their execution in order to shorten the time it takes for import jobs to complete – even when large data volumes are involved.