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Aug 1 Webinar: Data Monetization

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DATE: August 1, 2017, This webinar has passed. The recording is available On Demand

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

About the Webinar

Scan any number of financial industry news publications, and stories regarding Wall Street’s hunger for new data sets to improve alpha abound. While this might seem like a new trend, monetizing data – or the ability to turn corporate data into revenue streams – has existed for decades. But both the supply side and the demand side have changed. On the supply side, the extreme variety of data that now exists (location-based, geospatial, socio-demographic, online search trends, pricing, etc.) combines with high computing power and new digital requirements to create a fertile data market environment. On the demand side, to remain competitive, companies in a wide variety of industries, not just the financial sector, are leveraging data in all forms to maintain an edge or be disruptive.

During this session we’ll explore what data monetization is and the forms it can take; characteristics of data that could make it more valuable to external parties; and key considerations in making data products available to external parties. Intellectual property, data privacy, and contractual issues will also be explored.

About the Speakers

Micheline Casey

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Micheline Casey served as the Federal Reserve Board’s first chief data officer. She is a senior executive with over twenty years of experience helping organizations use data and analytics for growth, transformation, and achievement of strategic objectives. Her focus areas include: data strategy and innovation, data monetization, and building high performing data teams. www.cdoguidance.com 

Q Ethan McCallum

Q Ethan McCallum works as a professional services consultant with a focus on strategic matters around data and technology. He is especially interested in helping companies build and shape their internal analytics practice. Among other publications, he is the editor of the Bad Data Handbook.  http://qethanm.cc/

 

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