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DAS Webinar: Building an Enterprise Data Strategy – Where to Start?

By   /  February 26, 2018  /  No Comments

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This webinar is sponsored by:

About the Webinar

The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage.  While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming.  From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.

This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success.  A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture.  Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.

About the Speaker

Donna Burbank

Managing Director, Global Data Strategy, Ltd

burbank-donna600-2Donna 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.

This webinar is brought to you in partnership with:

Global Data Strategy

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