Technology & Innovation

Manufacturing and the data conundrum

August 05, 2014

Global

August 05, 2014

Global
David Line

Partner

David was a managing editor for The Economist Group's thought leadership division in Asia. He has been writing about Asian economics, politics and finance for over 14 years. He has led numerous major research projects in the region, focusing on financial services, including most recently a series of papers on free-trade agreements in the region, several studies on the internationalisation of the renminbi, and the landmark Bank of America Merrill Lynch CFO Outlook Asia series. Among other things he is the author of a major study of middle-market companies in Japan and a chapter on the long-term future of the financial services industry in a 2015 Nikkei book charting global megatrends to 2050.

David was formerly Associate Director in Tokyo of The Economist Corporate Network, a membership-based advisory service for senior executives, and a reporter for the EIU's breaking news service, ViewsWire. He holds Masters degrees in Global Finance from NYU Stern School of Business/Hong Kong University of Science and Technology, in Japanese Studies from the School of Oriental and African Studies (University of London), and in Modern History from Oxford University.

Too much? Too little? Or just right?

Report Summary

Manufacturing and the data conundrum: Too much? Too little? Or just right?,commissioned by Wipro, examines how manufacturers are using integrated data collection and analysis to improve production throughput, reduce costs and improve quality. The research is based on a survey of 50 C-suite executives from manufacturers in North America and Western Europe.

The survey shows that just 42% of respondents have what they consider to be a well-defined data-management strategy. However, 62% are not sure they have been able to keep up with the large volumes of data they collect, as it comes from too many sources and in a variety of formats and speeds. 

The report also finds that while over 90% of manufacturers collect data from monitoring production processes, less than half have in place predictive data analytics, and less than 40% use data analysis to find solutions to production problems.

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