Many data warehouse teams lean heavily toward the doing side. They leap into implementation activities without spending enough time and energy to develop their data models, identify thorough business rules, or plan their data staging processes. As a result, they charge full speed ahead and end up re-working their processes, delivering bad or incomplete data, and generally causing themselves […]