45% Indian workforce claim themselves to be data literate: Qlik

Almost 45% of Indian employees who have been surveyed by data analytics firm Qlik feel confident in their data literacy skills.

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Almost 45% of Indian employees who have been surveyed by firm feel confident in their data literacy skills. This is significantly higher than the corresponding global and APAC average of 20%. The findings from the research highlights the critical role data literacy is playing in driving India’s growth as a digitally-driven new-age economy. It also shows how Indian professionals are leveraging relevant data-driven insights to make more strategic and informed business decisions.

Similar to the rest of APAC, Indian employees are seeing rising expectations to use data at work. An overwhelming majority (85%) said that they work with a higher volume of data today compared to three years ago and almost three in four (72%) use data once a week (or more) in their current job roles. Employees across India also acknowledge the value of data and data literacy in their jobs:

“Due to the rapid digitalization sweeping across the country, India is generating data at a much faster pace than at any other time in its history. It’s great to see that the Indian workforce has kept pace with this changing paradigm and it is no wonder then that over nine in ten of data literates say they are performing very well at work. Given the impact that data can have on both an individual’s performance and the larger business operations, we expect more professionals in India to continue enhancing their data literacy skills,” said Paul Mclean, Data Literacy Evangelist, APAC at Qlik.

Despite its positive performance when it came to data literacy, there are areas that can be improved before the country can lay claims to the title of a data-empowered nation – 81% of respondents still admitted to feeling overwhelmed when reading, working with, analyzing, and challenging data. 66% of graduate entry-level employees do not classify themselves as , demonstrating a new age skills gap entering the workforce

However, the majority (95%) of full-time workers said they would be willing to invest more time and energy in improving their data literacy skills, if given the chance. This willingness is the highest level across APAC and exists across all job levels. All senior executives (100%) surveyed indicated their desire to enhance their data literacy skills, as did a significant majority of directors (97%), senior managers (95%), middle managers (95%), junior managers (92%), graduates/entry-level employees (94%), clerical employees (93%), and manual- skilled workers (92%).

“Data literate employees are more confident about performing their job, and contribute more to the overall growth of their companies. The challenge is in having a workforce that is equipped with the requisite skill sets to utilize this data to its fullest capabilities. Indian professionals and businesses have indicated a strong desire to be more data literate so we expect to see a higher number of business leaders implementing data-led work cultures in their workplaces. This growing push for greater data literacy will only take India, a nation on a rapid digitization curve, from strength to strength in a data-driven world to fulfill its vision of becoming a digital superpower – not only in APAC, but also globally,” said Arun Balasubramanian, Country Manager, Qlik India.

India is leading the way with the most data literates (45% vs. regional average of 20%) while in Japan only 6% of workers classify themselves as data literate. C-Suites and Directors in India (64%), Australia (39%) and Singapore (31%) are most confident about their data literacy levels. Older workers (55+ years old) in India (32%) and Australia (20%) are more data literate than those in other countries within the region

Employees in India (88%), China (76%) and Singapore (75%) are most empowered by their employers to access data (i.e. they have access to the data they need, are proficient in working with data and feel empowered by their employers to use it)

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