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Posted by: Dan Kuhn - CTO on 11/30/2009 | 0 Comments

Unlike a traditional corporate data warehouse which only operates in a single mode of data delivery, there are three ways that data-centric business models use data and advanced analytics stored in a data factory: feed transactions and insights into software to make it more intelligent; make really critical business decisions at near real-time speeds; and deliver insights and simulations based on models and insights to end customers.

Posted by: Dan Kuhn - CTO on 11/30/2009 | 0 Comments

The many moving parts of the data factory, like any modern data factory, require a robust operations management system to keep everything running smoothly.  The operations system becomes the command center of the data factory. 

The key to the data factory approach is a clear end-to-end view of the data production system. It is important to chalk out what needs to be achieved in the short-term and the long-term. Before beginning a data factory initiative it is important to ask the question "How will the business be different after we've implemented this solution?"  Other questions that need to be asked are: what represents the real value for the end users and for the business? What are the challenges wit data and analytics quality?

 



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