Orchestrate and mine data from disparate enterprise systems together into organised processes.
Build multi-step data processes (e.g. scoring of optimal data, business analytics, ETL processes).
Support for bulk data writing technologies from leading database vendors.
Save money on costly database changes.
Output reports including data and graphs.
Apply batch processing including machine learning algorithms.
Execute arbitrary logic as a part of data transformation processes.
Join heterogeneous data together.
Achieve more interactive websites.
Transform and query data on the fly including dynamic easy to use expressions.
Increase flexibility by achieving automatically changing logic by learning from data.
Query, filter and change data to implement arbitrary business rules.
Achieve better integration between legacy and modern systems.
Trigger processes from the web, scheduling or manual intervention.
Provide simple reporting straight to Excel, Word and PDF.
Perform statistical analysis, and common database operations like aggregations using drag and drop interface.