I'm involved in data warehouse management and design and am wondering if you could you please outline the procedures required to operationalize a data warehouse?
Data warehouse management and design can be complicated -- but doable. If by operationalize, you mean that you wish to put the data warehouse into a production environment where the users are able to count on it 24/7 for real business decision making with a high degree of predictability, I give you these 10 things:
Data warehouse management and design tips
- Implement strict change control for structure, reports and new data.
- Implement a 24 x 7 bullet-proof on-call rotation for support.
- Implement a user support program where users are able to call for technical or business support.
- Implement a user training program to educate new users on how to use the data warehouse.
- Implement a performance monitoring program to monitor common and important queries.
- Implement metadata, describing the data in the warehouse, that is useful to users.
- Build and publish an iteration plan for the next two to three years describing anticipated data warehouse enhancements over time.
- Establish business data stewardship by subject area.
- Utilize the data stewards to establish a data quality program.
- Communicate all of the above via your intranet page or other means of communication.
Note: I do not say you must get a specific technology, provide a specific level of performance or necessarily have x years of atomic data in order to operationalize a data warehouse. That is all according to user need.
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