Data Literacy. Digital Literacy. Data Literacy.
Are these buzzwords or a sign of a real breakthrough?
How much knowledge and experience do professionals need to have in order to work effectively with data and digital assets?
What are the basic requirements in the workplace?
Companies manage an increasing amount of data. However, collecting data is not the same as understanding it. Mastering word processing or spreadsheets is no longer enough. If we want to take real advantage of analytical tools and business intelligence software, all users must learn to talk in terms of data.
What is Data Literacy?
Data literacy translates to data literacy. Literacy has several interpretations. According to the SAR, it comes from literacy, and is the action of teaching people to read and write. It's a competence and skillbut also the teaching of that skill. Expanding on this, we can say that it is the ability to "read and write a specific language, as well as a way of understanding the use of reading and writing in daily life.
Another more complete definition includes in these competences those of writing, reading and calculating.
a means of identifying, understanding, interpreting, creating and communicating in an increasingly digitalized, text-based, information-rich and rapidly changing world
In the case of data literacy, we talk about the ability to know what data we are tracking, why we are tracking it, how to read that data, and how to use that data to make decisions.
Gartner defines data literacy as
the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the application of the use case and the resulting value
According to a study conducted by Censuswide and promoted by Qlik, only the 25% of Spanish professionals is considered capable to interpret, analyze and argue data in their work. The European average is 17%.
Among the 7,300 business decision makers surveyed, only 24% are considered to be data literate.
And if we go outside the professional arena, the percentages grow.
The 52% of Europeans states that it examines the data more closely, aware that have real problems recognizing manipulationsThe main focus is on the media, social networks and the professional world.
Data as a way of thinking or as a new business language
Data literacy is a way of thinking in terms of data.
It's like learning a foreign language: you haven't really learned that new language until you start thinking about it and speaking it.
the ability to interpret, analyze and argue data
The Data Literacy skill will allow people who do not necessarily have a profile as a scientist or data analyst to understand what is involved in the information presented to them.
To develop this capacity, certain knowledge is required techniciansas well as skills digital (digital skills).
In addition, skills will be needed "soft"such as storytelling. Ben Wellington, self-described "storyteller data" explains it here with several practical examples and a good dose of humor.
We will move away from thinking in generic terms, for example, whether or not sales have increased. We will be able to discern the different factors involved in understanding the data that make up the phenomenon of variation in sales numbers. We will think about segmentsThe results of this study were used to calculate variables that were introduced, such as a marketing campaign with a specific conversion objective, which resulted in increased sales in the digital channel.
Data Literacy in Business Intelligence
BI software organizes all data sources, whether from the ERP, CRM o websitebut also other unstructured ones, such as e-mail data. They allow us to see how these data sources interact and how our business evolves. We can discover relationships and take action.
Knowing how to read and interpret data is an essential skill that cannot be relegated to a data science expert. All users, whether at the operational, tactical or strategic level, must be trained. They must know what data they are tracking, where this data is stored, and how it fits together.
Therefore, until users speak data fluentlyIf you have a lot of money, you won't know how to really take advantage of a BI tool.
How to start implementing Data Literacy
"Although 92% of the company's decision makers believe it is important for their employees to be able to read and write data, only 17% reports that their business significantly encourages employees to be more confident with data.
Qlik offers specific courses to encourage this training in companies and promote data as a second language.
Gartner, in turn, shares some initial diagnostic questions, which we should all ask ourselves, to assess the degree of data literacy in our organization.
By 2020, 50% organizations will lack sufficient artificial intelligence and data literacy skills to achieve commercial value.
- How many people in your business do you think can interpret simple statistical operations such as correlations or judge averages?
- How many managers can build a business case based on concrete, accurate and relevant numbers?
- How many managers can explain the outcome of their systems or processes?
- How many data scientists can explain the result of their machine learning?
- How many of your customers can really appreciate and internalize the essence of the data you share with them?
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