Digital Transformation and the Business Terms Model

Successful digital transformation is only possible when stakeholders speak the same business language.  The Business Terms Model (BTM), also known as the “Conceptual Data Model” (which is not the preferred term and we’ll explain why), provides a communication tool across business languages by capturing a Common Business Language of terms for a particular business initiative.

With more and more data being created and used, combined with intense competition, strict regulations, and rapid-spread social media, the financial, liability, and credibility stakes have never been higher, and therefore, the need for a Common Business Language has never been greater.

Follow along with data modeling expert Steve Hoberman and appreciate the value of a common set of business terms and how a data model can visually depict these terms with precision.

Steve Hoberman has been a data modeler for over 30 years, and his virtual Data Modeling Master Class is the most comprehensive (yet entertaining) data modeling course on Earth. Steve is the author of nine books on data modeling, including The Rosedata Stone and Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the founder of the Design Challenges group, creator of the Data Modeling Institute’s Data Modeling Certification exam, Conference Chair of the Data Modeling Zone conferences, director of Technics Publications, lecturer at Columbia University, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.

Book Draw

IRMAC and Steve Hoberman are holding a draw for a free copy of his new book, “The Rosedata Stone: Achieving a Common Business Language using Business Data Terms”. Enter the draw by filling out this form: https://forms.gle/gPJKspoUpMF2p7X8A

Date

Mar 16 2021
Expired!

Time

12:00 pm

More Info

Register Here
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