Research reveals India as the world’s most data literate country – but also the most data-stressed!
A new report from Accenture (NYSE: ACN) and Qlik, titled “The Human Impact of Data Literacy” and conducted on behalf of The Data Literacy Project, has revealed some interesting trends about the Indian workforce. On one hand, the report maps India as the world’s most data literate country while, on the other, it also highlights a stark contrast: the rising workplace stress amongst Indian professionals stemming from information, data and technology issues.
Data is a gold mine that can fuel a culture of innovation and growth. However, when employees struggle to make sense of data, productivity and business value can be affected. Accenture and Qlik’s survey of 9,000 employees around the world, including 1,000 in India, found that local companies lose an average of more than eight working days (69.5 hours) per employee, annually. This is the highest time globally (Singapore comes in second at 56.5 hours) and significantly higher than the global average of five working days (43 hours). These lost days due to procrastination and sick leave stem from stress around information, data and technology issues, and equate to an estimated ₹33,216 crores (US$4.6bn) in lost productivity.
The research identified two ways in which the data literacy gap is causing a disconnect and impacting Indian organisations’ ability to thrive in the data-driven economy.
First, despite nearly all employees (83 percent) recognising data as an asset, few are using it to inform decision-making. India has the highest data literacy level globally, with close to half (46 percent) reporting being confident in their data literacy skills — i.e., their ability to read, understand, question and work with data. Interestingly, while more than half (53 percent) of employees trust their decisions more when based on data, four in five (80 percent) still frequently defer to a “gut feeling” rather than data-driven insights when making decisions.
Second, a lack of data skills is shrinking productivity. An eye-opening 85 percent of employees report feeling overwhelmed or unhappy when working with data, the highest percentage globally. A surprising 47 percent of surveyed employees even state that they will find an alternative method to complete the task without using data at all. Seven in 10 respondents (74 percent) report that data-overload has contributed to workplace stress, culminating in six in 10 employees (64 percent) of the local workforce taking at least one day of sick leave due to stress related to information, data and technology issues.
“No one questions the value of data – but many companies need to re-invent their approach to data governance, analysis and decision-making. This means ensuring that their workforce has the tools and training necessary to deliver on the new opportunities that data presents,” said Sanjeev Vohra, group technology officer and global lead for Accenture’s Data Business Group. “Data-driven companies that focus on continuous learning will be more productive and gain a competitive edge.”
Empowering the workforce to thrive in a data-driven economy
To succeed in the data revolution, business leaders must help employees become more confident and comfortable in using data insights to make decisions. Employees in India who identify as data-literate are at least 25 percent more likely to say they feel empowered to make better decisions and are trusted to make better decisions. Furthermore, more than half (53 percent) of employees believe that data literacy training would make them more productive. This is the highest percentage globally.
Jordan Morrow, Global Head of Data Literacy at Qlik and Chair of the Data Literacy Project Advisory Board added, “Despite recognizing the integral value of data to the success of their business, most firms are still struggling to build teams that can actually bring that value to life. There has been a focus on giving employees self-service access to data, rather than building individuals’ self-sufficiency to work with it. Yet, expecting employees to work with data without providing the right training or appropriate tools is a bit like going fishing without the rods, bait or nets – you may have led them to water but you aren’t helping them to catch a fish.”
Francis Rodrigues, Senior Vice President – Business Insights, Data Labs & Innovation from HDFC Life, said: “Encouraging and enabling data literacy ensures that our organisation is prepared for the future. At HDFC life, we created a CARE Framework which guides how data is used – C stands for communication to understand the business objective for using data; A is deciding access levels to the information; R stands for record keeping of who is using the data and finally E is for education to promote and enable the business to use data. For us, strategically managing and using our data has been fundamentally linked to customer experiences and outcomes, with value seen across the business. We know that with continued training, our teams will be empowered to make better business decisions.”
In “The Human Impact of Data Literacy” report, Qlik and Accenture share five steps organizations should consider when planning their data literacy strategy to build a data-driven workforce, including setting clear data expectations and creating a culture of co-evolution.
To support data literacy skills, Qlik and Accenture are founding members of the Data Literacy Project, the global community dedicated to igniting richer discussion and developing the tools needed to shape a confident and successful data-literate society.
About the research
“The Human Impact of Data Literacy” report is based on research conducted amongst 9,000 global full-time employees in organizations of 50+ employees in the UK, USA, Germany, France, Singapore, Sweden, Japan, Australia and India. 1,000 employees in India were surveyed.
To calculate the average time lost for organizations through data-related procrastination and sickness leave per year, we calculated the total of the average hours of time wasted from procrastination per week (measured against the average working week in India at 36 weeks) and the average days lost through data-related sickness leave each year. The time lost per employee was calculated at 69 hours 38 minutes per year.
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