Technology & Innovation

Big data evolution

November 19, 2015

Global

November 19, 2015

Global
Sunmin Kim

Deputy editor, Americas

Sunmin is a deputy editor for The Economist Intelligence Unit's thought leadership division in the Americas. She is specializing in science and technology, innovation and business strategy. At the EIU, her research has so far led her to cover topics such as regulation of the sharing economy, big data in business and artificial intelligence, through digital outputs including e-books, interactive data explorers and benchmarking tools. Outside the EIU, she is the executive director of Pro Journo, a global business journalism non-profit, and a media advisor to the World Economic Forum’s Global Shapers community. She studied engineering and complex systems at Cornell University and University of Michigan, and holds a patent in nano-optics.

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Over the past four years, executives have not only become better educated about the technology behind big data, but have fully embraced the relevance of data to their corporate strategy and competitive success. It could be said that most companies are experiencing their "data adolescence", increasingly rising to the challenge of executing and delivering against the promise and potential of big data.

The tone of corporate conversations about big data continues to shift from initial excitement to expecting long-term business impact. 

What are the hallmarks of this current stage of evolution, and what does the path to "data adulthood" look like from here? Download our new report to find out.

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