It takes more than desire and pressure to fast-track data warehousing and BI projects. Key stakeholders, architects, and database professionals need intelligent data modeling to speed comprehension and collaboration on enterprise data sources, processes, and systems. Join BI and data warehouse expert, Claudia Imhoff, for an insightful webinar replay on intelligent data modeling practices to design and deliver superior BI faster.
In this webinar, you’ll learn:
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The characteristics and benefits of intelligent data modeling
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How to promote the use of data models to fast-track data warehouse and BI projects
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Three key ways to use data models to streamline collaboration, design, and implementation of superior BI solutions
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How to avoid the four biggest traps that hinder BI projects
View Recording
Claudia Imhoff
President
Intelligent Solutions, Inc.
About the Speaker:
Claudia Imhoff, President of Intelligent Solutions, Inc.
A thought leader, visionary, and practitioner in the rapidly growing fields of business intelligence and customer focused-strategy – Claudia Imhoff, Ph.D., is a popular and dynamic speaker and internationally recognized expert on analytical CRM, business intelligence, and the infrastructure to support these initiatives – the Corporate Information Factory (CIF). Dr. Imhoff has co-authored five highly-regarded and popular books on these subjects and writes monthly columns and articles (totaling more than 100) for technical and business magazines. She has served on the Board of Advisors for DAMA International and was chosen by the DAMA organizations to receive the 1999 and 2005 Individual Achievement Awards. She is an advisor and a faculty member for The Data Warehousing Institute and serves as an advisor for several technology and commercial companies. Dr. Imhoff founded Intelligent Solutions, Inc. (www.IntelSols.com), a well respected Business Intelligence and CRM consulting and education firm in 1992. Her company has successfully implemented over 150 Corporate Information Factory architectures in all industry areas.
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