The first step in creating a data warehouse is to determine what information is needed most -- critical to management and the business.
This special guide is aimed at aiding the data warehouse implementation exercise.
You've been chosen to spearhead the creation of your organisation's first data warehouse. So where do you start?
Learn some techniques for mining user knowledge that will help you create an effective data warehouse.
Conventional OLTP techniques that worked in the past may turn out to be big mistakes.
You know you need a data warehouse but how do you convince management to spring for this shapeless, faceless thing that has no explicit price tag and no explicit benefit? Here are some pointers.
With a few minor adjustments in your approach, you can deliver a successful warehouse implementation, even if it's your first.
Initial customer relationship management promises to analyse data across all customer channels never materialised. Feeding data from disparate customer systems into a central data warehouse is the right way to solve this problem.
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