Technology & Innovation

Big data and the democratisation of decisions

October 12, 2012

Africa

October 12, 2012

Africa
Riva Richmond

Former editor

Riva Richmond is Director of Digital Media at The Story Exchange, a nonprofit digital media project that tells the stories of women entrepreneurs in articles and videos. Previously she worked as a Senior Editor with The Economist Intelligence Unit's Thought Leadership team in New York. She has reported and written about technology more than a decade, much of that time focused on information security and privacy issues. Prior to her current position, Riva was a freelance journalist writing for The New York Times, Entrepreneur.com, The Wall Street Journal and other national publications.

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"Big data and the democratisation of decisions" is an Economist Intelligence Unit report, sponsored by Alteryx.

Report Summary

  • Skilled data specialists are in short supply and the demand to use data to make smarter decisions and compete more effectively is rising. Nearly half (48%) of respondents say someone other than the chief information officer (CIO) drives big data processes in their company, a trend that should accelerate as companies work to capture more value from information assets. Over three-quarters (77%) of respondents say businesses must empower more employees to access and make decisions using big data.
  • Executives are sold on the business value of big data. Survey respondents believe that tapping big data will aid decision-making related to seizing market opportunities (66%), holding on to customers (55%), offering the right product or service mix (44%), competing with rivals more effectively (41%) and boosting financial performance (35%). The data most available to them—internal information—are also what they most value.
  • Democratisation of data-driven decision-making is largely aspirational. Though our survey respondents acknowledge the importance of leveraging big data to achieve better performance, only 17% consider themselves leaders in this area. Forty percent say their organisations are adequate at the collection and analysis of big data, while a startling 41% say they are somewhat or completely inadequate.

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