Many corporations are experiencing significant business benefits using data warehouse technology. Users report gains in market competitiveness (increased revenue) and information management (reduced costs).

The Conceptual Data Model (CDM) is a technology and application neutral data model that is developed to help ensure that IT understands the business – before data stores and applications are designed and developed.

A Subject Area Model (SAM) is a key component of a successfully developed data warehousing or data architecture program. Oftentimes, when a subject area model is created, they are frequently leveraged for only the purpose of segmenting a data model. Whether you develop it yourself, or purchase a vendor data warehouse solution, having a subject area model can assist your effort in many additional ways. If utilized effectively, it can also help in development, deployment, and efficient usage. Let’s take a deeper look at the concept of a subject area model and how to get the most out of it.

You have a checklist of the major activities that are part of every data warehouse implementation but there may be one of two you left out. These four are ones that many organizations left out to their dismay.