Whitepaper : Mastering Data Modeling for Master Data Domains

Increasing dependence on enterprise-class applications has created a demand for centralizing organizational data using techniques such as Master Data Management (MDM). The development of a useful MDM environment is often complicated by a lack of shared organizational information and data modeling. In this paper, David Loshin explores some of the root causes that have influenced an organization’s development of a variety of data models, how that organic development has introduced potential inconsistency in structure and semantics, and how those inconsistencies complicate master data integration.

Here is your download link for ER/Studio Data Architect!

Please choose the file that meets your system requirements:

You’ll also receive a confirmation email with a download link for your product. To ensure email delivery, please whitelist [email protected]. If you do not receive your email, please be sure to check both your inbox and filters for a message from [email protected].

Topics :

Products :

David Loshin

David Loshin is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. David is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence. Along with consulting on numerous data management projects over the past 20 years, David is also a prolific author regarding business intelligence best practices, with numerous books and papers on data management.

See ER/Studio Enterprise Team Edition in action



Document and enhance data from multiple database platforms with ER/Studio Enterprise Team Edition. We can help you build and maintain enterprise data models and metadata.

Request Demo