Using A Model-Driven Approach For BI Projects?

I've been working away on client sites over the last few weeks, and because of this I've not really had any spare time for writing articles or answering questions. Apologies if you've sent me a question and you've not heard back, and hopefully I should be able to spend a bit more time on the site over the next few weeks.

Anyway, in the meantime, here's some more news. Neil Raden has written a provocative article for IntelligentEnterprise.com entitled "The New Deal" that proposes a model-driven approach to building data warehousing projects. According to the article:

"Data warehousing remains stubbornly focused on data and databases instead of information processes, business models, and closed-loop solutions. Methodologies and best practices for data warehousing have barely budged. Our approach to building data warehouses and business intelligence (BI) environments around them is out of step with the reality of today's information technology."

"Current methodologies stress the need for iterations: an indication that participants agree that it's not possible to specify a data warehouse all at once. Never, however, is it made clear what's supposed to happen with the previous version of the data model."

"The alternative is a model-driven architecture. With this approach, the models are not data models; rather, they are expressive business models designed not to just arrange data neatly in a drawer but to solve end-to-end problems. Such models are expressed in terms that are meaningful to stakeholders in the sales, marketing, finance, procurement, product design, engineering, actuarial, auditing, and risk management."