How are agile approaches different than traditional methods?
What does it take to make agile succeed for data warehousing projects?
Where do we have to be careful with this new approach?
Faster, better, cheaper. That’s the promise that agile methods have been delivering upon during the past decade for general application development. Although they are an increasingly popular style of programming for transaction-processing or data- capture applications, they have not been employed nearly as much for data warehousing/business intelligence (DWBI) applications. It usually takes a combination of project disasters and existential threats to inspire corporate DWBI departments to consider replacing their traditional ...