Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make

IT professionals are eager to deliver the benefits of well-managed enterprise architecture but have concerns about possible missteps along the way. Whether their organization is just starting out or experienced in enterprise data modeling efforts, there are certain pitfalls that can become obstacles to success. This paper looks at the benefits of an effective enterprise data modeling effort, as well as seven common mistakes that organizations can make in developing enterprise data models.

Understand benefits of an effective enterprise data modeling effort
Identify seven common mistakes that organizations can make in developing enterprise data models
Resolve issues and deliver results to the business with ER/Studio

Karen López is Senior Project Manager and Architect at InfoAdvisors. She has more than twenty years of experience in helping organizations implement large, multi-project programs. She is a Microsoft MVP, SQL Server, and a Dunn and Bradstreet MVP. InfoAdvisors is a Toronto-based data management consulting firm. We specialize in the practical application of data management. Our philosophy is based on assessing the cost, benefit, and risk of any technique to meet the specific needs of our client organizations. InfoAdvisors offers data modeling training, including training focused on introductory data management issues, for non-modelers such as business users, database administrators, project managers and developers.

DownloadPDF

Solution Brief : ER/Studio Data Architect

Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make

Presenter: Karen Lopez

Share This :

See Also:

Improve data quality, enhance data lineage, and create effective data models to build business-driven data architecture with ER/Studio Data Architect.