Mar 25 DAS Webinar: Data Modeling Case Study — Business Data Modeling at Kiewit

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DATE: March 25, 2021

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Webinar

Kiewit has been a leader in the construction industry since 1884. Key to the organization’s success is not only its focus on high quality engineering and its forward-thinking workforce, but its ability to manage complexity in a clear, concise, and data-driven way. As part of the organization’s strategic initiative to become even more data-driven in the way it estimates and manages projects, conceptual data models were built to create an overview of critical key data assets. Data architecture diagrams resonated well with key stakeholders who were well accustomed to driving success based on architectural diagrams, and these models were a key driver for the future data strategy for the organization. Join this webinar to learn more about Kiewit’s path to success through business-focused data models.

About the Speakers

Donna Burbank

Managing Director, Global Data Strategy, Ltd

Donna Burbank is a recognized industry expert in information management with over 20 years of experience helping organizations enrich their business opportunities through data and information.  She currently is the Managing Director of Global Data Strategy Ltd, where she assists organizations around the globe in driving value from their data.  She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences.  She has co-authored several books on data management and is a regular contributor to industry publications. She can be reached at donna.burbank@globaldatastrategy.com and you can follow her on Twitter @donnaburbank.

Louise Breathnach

Principal Architect, Data Strategy, Peter Kiewit and Sons

Louise Breathnach is the Principal Architect, Data Strategy at Peter Kiewit and Sons, one of the top 5 construction companies in North America. She’s been focused on data from many perspectives over a career that has included work in machine learning, data security, research and development, near real-time data processing, and data visualization for executive decision making. At Kiewit, Louise leads efforts to advance the business use of data through analytical technologies.

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