Technical Benefits

  • Makes native SQL operations more friendly thanks to its intuitive "point and click" interface.

  • Loads data from virtually any data source: Microsoft SQL Server, Oracle, ODBC (level 3 compliance required), Access, Text Files, etc...

  • Has a semi-guided process with meta data pre-populated fields, which helps reduce deployment time and common manual tasks.

  • Allows all generated code to be accessed and edited.

  • Has an administrative user interface to monitor and administer the progress of the data warehouse.

  • Makes SQL Server Analysis Services OLAP Cubes accessible to all SQL database developers.

  • Organizes data warehouse builds into a single visual process for your daily extract/transform routine.

  • Doesn’t require interaction during the run-time process (automated run - runs in a "lights-out" fashion).

  • Can schedule SSIS packages using the SQL Agent or your own enterprise scheduler.

  • Requires no extensive designing or prototyping effort because data warehouses can easily be fine-tuned or expanded.

  • Promotes teamwork and makes developer handover easier thanks to a standardized development process.

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What They're Saying

It has simplified the overall process of creating a data warehouse by making MS SQL’s inherent functionality more accessible.

Francisco Yeo
Gallions Housing Association

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