W6: Introduction to Business Dimensional Modeling: Delivering Business Value
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  Laura Reeves   Laura Reeves
Founding Partner
StarSoft Solutions, Inc.


Sunday, April 2, 2017
02:30 PM - 05:45 PM

Level:  Introductory

Even with the explosion of new technologies available to help tap into the world of Big Data, most organizations still have plenty of structured data to deal with. The time proven method to deliver structured data is through dimensional data structures. Organizations often struggle to develop dimensional models that will effectively support business needs. Business Dimensional Modeling is a proven approach that includes the business community in the design process. This session shares the basic principles using real-world scenarios. This is a great introduction to the concepts but is also valuable for experienced data modelers to learn how to better communicate with business users. You will learn:
  • How to identify facts and dimensions
  • How to design comprehensive and flexible dimensions
  • Different types of facts and how to model them
  • Techniques to facilitate involvement of the business community in the modeling process

Laura Reeves, co-founder of StarSoft Solutions, is a thought leader in dimensional modeling, a senior executive strategic advisor, consultant, and business intelligence/data management industry expert. She has more than 30 years of experience leading enterprise business intelligence, data management/warehousing, data modeling, and governance engagements within Fortune 1000 global corporations with StarSoft Solutions and Metaphor/IBM.

She is a regular speaker and instructor at major data warehousing and business intelligence conferences. She is the author of "A Manager's Guide to Data Warehousing" and a co-author of "The Data Warehouse Lifecycle Toolkit"- First Edition, both published by Wiley. She provides the best practices needed to deliver comprehensive solution architectures that deliver business results in a cost effective manner. The solution architectures optimize all aspects of enterprise data including data architecture, data modeling, governance, security, and master data.

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