As data warehouse systems evolve, they become dependant on massive amounts of processes such as incoming feed processing, maintenance jobs, archiving and purging. A mid-size data warehouse can easily be comprised of hundreds or thousands of processes that need to be managed and monitored. Performance metrics should be captured in order for the supporting personnel to gain understanding of data warehouse performance and be able to prevent any possible performance degradation.

Our solutions take into account this important aspect of data warehouse lifecycle and provide a pre-built functionality that accommodates process management requirements of data warehouse systems.