Data Modeling is an important component in a successful information-managed environment. It provides the ability to have a clear understanding of the organization's data requirements. Data Modeling is the technique of analyzing and representing the knowledge resource of the organization. This is essential to the development of stable and flexible databases that can be shared by knowledge workers and application, and minimize the costs of redundant data and applications. The critical factor in Data Modeling is the identification of data requirements from an enterprise-wide perspective across business value chains, rather than from an "application" or functional perspective. The single most common reason companies fail to achieve the most significant benefits of their DBMS is their failure to model their data from the perspective of all knowledge workers who are stakeholders in that data and then implementing sharable databases.

INFORMATION IMPACT helps you:

• Establish data standards and guidelines for data modeling from a business perspective
• Incorporate data modeling processes into the development life cycle to achieve sharable data across the business value chains