Showcasting tweaks required inside of the Data Warehouse to get the best of the Data Transformation tools used. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while the Data Warehouse builds.

Visualize entities and attributes of the Data Warehouse. Metrics associated with the entities and attributes help understand the integration and alignment of the Data Transformation tools with the Database.

Overview of the operational statistics over the period of time. The statistics of the jobs, workflows or modules that process the ETL or ELT help analyze the low performing areas. With further drill down, the exact bottlenecks at an individual task level can be identified.

Leverage the operational statistics to tune the performance of the overall ETL or ELT. Iterative approaches to address low performing processes foster collaborative thinking to further the overall value proposition.

Efficiently monitor the quality of deliverables of your development team. Identify if the tools used are being utilized to their maximum effeciency and best practices. Help reach ROI for your investment in the Data Warehouse automation tools.