Enterprise Data Modeling Programs Present Challenges

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.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.