Data literacy? What’s that?

As data increases and is easily accessed by everyone, people and companies need a culture in Data literacy.

Data literacy is the ability to use data properly, that is, read, work with, analyze and argue with data.

The ability to use data properly is essential for companies’ business success as those who can not embrace a culture of data literacy could easily been left behind.

We are data literates when we are able to read data, work with data, analyze data and argue with data.

Let’s look at each of these aspects:

Reading data

Reading means looking at something and comprehending it. Can you and can every member of your organization fully comprehend a graphic form or a table form?

Reading data is a key skill which entails becoming fluent in the language of data, and so, to use with regularity and normality words and concepts such as Histogram, Box plot, Median, Standard deviation, Confidence intervals, …

Working with data.

Different roles within the organization will work in different ways with data. Some of them will need to be able to built code, others will have to be experts in the managing of spread sheets, some others will have to be good at working with data visualization. All of them, from the data scientists and data analyst to the business users, executives and regular employees, will have to be able to work with data at some extent.

Analyzing data

Data analysis is the ability to get results and draw insights from the data.

Analyzing data involves Technical mathematic and Statistics skills.

Argue with data

The definition of arguing is to give reasons or evidences with the aim of persuading others to share our view. To be good at arguing with data you need to be data fluent, have analytical skills, knowing about statistics and to be good at data visualization skills.

With a good arguing with data ability, the Business Intelligence that we have gained with the data analysis will turn into Augmented intelligence, which is the one that comes when the whole organization is aligned with the results and insights of the data driven Business intelligence. And that, this alignment and engagement, only can be done through a good “arguing with data” skill.


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