Home All Events Money Heist: A Data-driven success

Money Heist: A Data-driven success

How data helped an international crime story go viral

PROFILE Master Degrees
EVENT TYPE Conferences
EVENT FORMAT Online events
DATE 17th November 2020
TIME 14:00 - 15:00 (GMT -04:00)
LANGUAGE English
Money Heist: A Data-driven success

A Dali mask, red coveralls, and names of cities have little meaning independently. Combined, these elements in the internationally acclaimed Netflix Series, Money Heist, transformed into symbols. This binge worthy series became a global phenomenon, but it did not start out that way.

Join this workshop with Professor Josep Curto to learn how Netflix took an unknown series from a local Spanish network and turned it into a global sensation. In this workshop, we will discuss the impact of data analytics in decision making within television production. We will analyze how Netflix's recommendation engine turned Money Heist from obscurity to virality.

 

ABOUT OUR SPECIAL GUEST

Josep Curto is a consultant, data scientist, entrepreneur and professor who has helped many companies to create competitive advantages based on data. He believes that the combination of data, models, technology and experience is the ultimate blend to help organizations around the world to provide better services and create new products.

His expertise comprises data technologies, methodologies and strategies and how they can be applied to solve business problems, improve decision-making, discover hidden insights, validate business hypotheses and create data products and services. He complements his professional career with a passion for higher education being Adjunct Professor at IE Business School.

Born in Spain, lived in five countries and three continents and travelled to more than 30 countries. Josep’s motto in life is: “All data models are wrong by definition, some are useful. Let’s use them wisely.”

Our speakers

Advisor | Consultant | Academic Director at UOCeimt | Professor at IE HST School

Josep Curto is a consultant, data scientist, entrepreneur and professor who has helped companies to create competitive advantages based on data. 

His expertise comprises data technologies, methodologies and strategies, and how they can be applied to solve business problems, improve decision-making, and create data products. He complements his professional career with a passion for higher education being Adjunct Professor at IE Business School.