Indian companies lost ₹33,216 crore and 8 days per employee due to stress from data and information

Indian companies lost ₹33,216 crore and 8 days per employee due to stress from data and information
  • A new report called ‘The Human Impact of Data Literacy’ by Accenture and data intelligence platform Qlik says that India is the most data literate country in the world.

  • However, India is also the most data stressed country in the world.

  • Indian companies lose an average of more than eight working days (69.5 hours) per employee due to stress from data and information.
Gone are the days when Indians had trouble finding a decent connection for the internet. With cheap data plans from almost every telecom operator, Indians today are spoilt for choice.

A new report called ‘The Human Impact of Data Literacy’ by Accenture and data intelligence platform Qlik says that India is the most data literate country in the world.

But no boon comes without a cost. The report said that stress from information, data and technology issues has impacted employees, making India the most data stressed country too.

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Indian companies lose an average of more than eight working days (69.5 hours) per employee, which is higher than Singapore (56.5 hours). The global average is 43 hours.


“These lost days happen due to procrastination and sick leaves stem from stress around information, data and technology issues, and equate to an estimated ₹33,216 crore in lost productivity,” said the report.

Another rising issue is the lack of data skills in the country. In an earlier interview with Business Insider, Naukri.com founder and CEO Hitesh Oberoi had mentioned that the skill gap is making it difficult for them to find the right hire.
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With the rise in demand for talent in Artificial Intelligence and Machine Learning, the need for skilling, especially in technology is even more pertinent in India.

The Accenture and Qlik report states that 85% of employees feel overwhelmed while working with data.

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There would be more layoffs in India if not for this irony


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