Why it matters?

Before you can begin developing data literacy in your organization, you will need to categorize the employees into cohorts. You will need to divide the employees into groups called personas based on each of their roles and responsibilities.

What are the different Data Literacy Personas?

Each person interprets information and reacts to it differently than others. Their understanding of information and its treatment is crucial for a company, especially when it is pushing to develop Data Literacy within the organization. All employees of the company do not need to have a high level of data literacy. Their level of data literacy depends on their job roles and their decision-making requirements. Based on this, they can be divided into cohorts, or data literacy personas.

These categorizations can be the current or the target data literacy level. When you have mapped this out, the employees can be trained accordingly, thereby developing data literacy.

If you want to know your data literacy persona, take this assessment: Data Literacy Test

Data Literacy Personas in an organization

      • Data Skeptics: They don’t believe in the value and power of analytics and data. They see them as a burden to their work. Data skeptics can derail any data literacy project. Hence, companies need to nurture them into a higher persona to avoid such mishaps. A good data awareness program can help in this conversion.
      • Data Enthusiasts:  They believe in the power of data. They are eager to learn more about how to use data and interpret it in their work. A good data literacy program could usher them and the company to new heights toward being data-driven.
      • Data Literates: They understand the analytics landscape and can be an active participant in discussions involving data. They are willing to hone up their analytics skills. In addition, a good recipe-based analytics program with hands-on practice can further develop their skills. This can take the company a long way toward being data-driven.
      • Citizen Analysts: They are data-driven employees who can solve 80% of their business problems using a structured approach to analytics and, in the process, align the stakeholders as well. They can get to an actionable solution and move the critical metrics for the company. Some citizen analysts can also be taught advanced analytics.
      • Digital Citizen Analysts: They possess the same skillset as a citizen analyst except that they can design and analyze A/B tests.
      • Data Scientists: They are adept in advanced analytics methodologies. They can solve almost all of the business problems using analytics. They are adept in using cutting-edge tools like R, Python, and SAS to manipulate data and build models. These Data Scientists are capable of aligning stakeholders toward an actionable solution and excelling at the data-driven decision-making process.
      • Data-driven Executives: They understand the power of analytics, which is the discovery and interpretation of meaningful patterns in data and their application for effective decision making. Data plays an integral role in the decision-making process. They hold their team accountable for their work and can understand when analytics has been executed in the right manner or not.

Need to learn more

Data literate workforce is the need of an hour. If you want to know more about data literacy, then you can go through this link – Data Literacy

In conclusion, know that data literacy is not a one-size-fits-all solution, and understanding your target personas upfront would help you plan your data literacy journey well.

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