How much structure does your data have right now? An enterprise data architecture is an organized model of a business’s data and information assets, which contains a logical or physical representation of the contents along with metadata that describes the contents.

To help you avoid pitfalls in your data architecture, Karen López has provided guidance in a whitepaper called, “Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make”, that describes how to:
  • Understand the benefits of an effective enterprise data modeling effort
  • Identify seven common mistakes that organizations can make in developing enterprise data models
  • Establish a plan to address those issues with ER/Studio
Use these strategies to define and deploy a successful enterprise data model in your company.
You Can’t Afford to Make Mistakes in Data Modeling

About Karen Lopez

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 Dun 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.



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