Many IT professionals are overwhelmed with tools and techniques available to initiate enterprise data modeling programs. Using a practical balance between enterprise and project points of view, data modeling enables IT groups to respond quickly and effectively to business needs.
We found this news on Information Management in their article, “Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make.” If data models and their underlying metadata are portrayed as just technical specifications that can be understood by developers and database administrators, they will not provide the benefits of an enterprise data architecture. These authors listed seven mistakes to avoid. It is worth the read and might save you a problem or two, or a buck or two. We all know how important our data is, so any lessons we can learn in advance make it worth the time.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.