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Qlik
The Results Are In: We Need Greater Data Literacy in Asia Pacific
Paul Mclean
As the growth of data has accelerated, so too has our ability to work with it to derive greater insights within and across organisations. However, in trying to make the most of the data now available, one key component has been lacking: consideration on the actual skill-sets to fully utilise data and act on it. In 2012, the Harvard Business Review said, “The shortage of data scientists is becoming a serious constraint in some sectors.” That was 2012 and yet, in 2018, the problem still remains. Six years on even more data is being produced, and the workforce has an actual skills-gap. Of course, not everyone needs to be a Data Scientist, but we all need to be data literate to make better decisions for better outcomes.
The current state of data literacy
In Qlik’s recent survey on data literacy across Asia Pacific (APAC), it was found that only one in five workers across the region felt confident in their data literacy skills (i.e. their ability to read, work with, analyse, and argue with data) despite growing pressure to use data within the workplace.
Australia, specifically, reports the same overall literacy rate (20 percent) as APAC. And yet, two thirds (65 percent) of Australian respondents believe they have to deal with a higher volume of data in their role than three years ago. In fact, the majority are using data on a weekly basis, demonstrating an overall shift towards data at work. However, employees don’t feel equipped to deal with this change, and 40 percent are frequently making decisions based on “gut feel” over informed, data-driven insight.
Our research found that more could be done to support workers with training initiatives that accelerate data literacy skills.
In order to grow data literacy within an organisation it is essential to foster the right culture to allow it to flourish
Given the vast amount of data being created today, and the growing need for organisations to be successful with that data, the high number of individuals (49 percent across APAC) who feel overwhelmed by data must be a strong wake-up call for organisations to start building the right culture and training programs for workers to become data literate. It also suggests more emphasis can be placed on these skills by education providers to remedy the skills gap.
What’s needed to make data literacy work?
In order to grow data literacy within an organisation it is essential to foster the right culture to allow it to flourish. If we understand the definition of data literacy as the ability to read, work with, analyse, and argue with data, a culture that supports this requires such skills to be improved by hard work, study, practice, and conversation. It sounds easy but in reality, it takes time and strong leaders to guide their teams through the shift in mind-set.
Within organisations, different data personalities and smaller subcultures can exist. However, a data literate culture must permeate through all business units, teams, leaders, and so on.
For example, in a hospital it’s commonplace for the heads of department and the board to be well-versed in reviewing the data at hand. But if the relevant data is also made accessible to doctors, nurses, and ward managers, they can quickly understand where potential efficiencies lie, who has the best operation theatre utilisation rates, which wards are providing better patient care and even the importance of logging their information in the right manner so they can quickly visualise it, understand what it is saying, and act on it.
Our research found 72 percent of APAC respondents would be willing to invest more time and energy into improving their data skills, however, both employers and employees need to take ownership and be more proactive in bridging this skills gap. Strong leadership is required to build a data literate culture, and, from the top down, an effort must be made to ensure employees have the time and support to improve their skills, with access to short training sessions to do so.
We’ve completed data literacy surveys across the world, and overall, the findings show that there is a large skills-gap within data literacy. We have seen great investments throughout the years in tools and technology, now it’s time to ensure we make investments in the human side of things: data literacy.
Overcome the skills gap
Take a brief self-assessment of your data literacy skills here, and search survey results comparing U.S., Europe and Asia-Pacific data using the Qlik Data Literacy Survey app. If you’re interested in taking free data literacy courses you can learn more here.
