Data Literacy Training: How To Create A Learning Solution – IT News Africa

Data has become the common language of technological advancement as our society becomes increasingly dependent on technological innovation. As a result of this shift, many organizations have begun to place greater emphasis on data collection and analysis. However, many people still do not understand the importance of data literacy. To get there, it is imperative for companies to involve their employees Data Literacy Training.

For example, companies may be sitting on data potentially worth millions of dollars, but they will not be able to turn that data into actionable insights and revenue without first developing data literacy.

Businesses with a high level of data literacy can use this information to better understand the wants and needs of their consumers. With this knowledge, they can improve their offerings and provide their customers with an exceptional experience. Ultimately, this translates into more money and faster business expansion.

But how do we manage to promote the appreciation and understanding of data?

facilitate data knowledge

Data literacy initiatives require planning like any other endeavor.

Building data-driven leadership is critical. The company’s top executives must first recognize the importance of understanding the intricacies of data analysis. From there, they will be able to steer the organization toward a more data-driven culture.

A data-driven management team should implement a five-step strategy to increase employee data literacy.

Your first step should be to determine how well-versed your organization is with data at the moment. As part of this process, known as a data culture assessment, make sure you ask things like:

• Where does your company stand in terms of data accessibility?
• Are decisions made based on facts and figures?

Formulate teaching strategies

Once you determine where your organization is in terms of data literacy and where you want to be, you can start using data analytics.

You should start by outlining the syllabus for achieving each target level of data literacy. The learning path includes the necessary training for the cohorts and the time needed to increase their data literacy. Executives who are “data driven,” “data enthusiasts,” “data experts,” “citizen analysts,” “digital citizen analysts,” “data scientists,” and “data skeptics” are all examples of the demographics that can be identified.