Data Literacy Skills – What and Why It Is Crucial?

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Digital evolution is omnipresent and has affected people’s work and home life. With digitization and automation of running and operating a business has compelled people to redefine their roles. The industry is consumed by digital technologies, so it is crucial to understand how capable your organization is of competing with it. Data is becoming a universal language, so gaining knowledge has become a necessity for those who desire to enhance their career. Data literacy means having the capability in interpreting, analyze, report, and present it. The data volume is expected to escalate to 175 zettabytes within the coming 5 years [2025]. This gigantic escalation shows the importance of data literacy in this digital data-centric landscape. 

EW solutions is a reliable data literacy consulting agency that has been offering successful data literacy solutions, since 1997. The team has worked with some largest government agencies in the US towards improving their data literacy. 

What’s data literacy?

Nearly every organization is handling a lot of data. Data compilation is not similar to understanding it. Data literacy skill engages employees at every level to look for abnormalities in the colossal volume of data, question data which is acting peculiarly, discuss data with management, and analyze the process for making core business decisions. 

Low data literacy can hold back teams as well as data analysis stalling can hinder the digital transformation initiatives within an organization. Data literacies empowers you to speak data and gain a competitive edge by successfully deriving value from data analysis. 

Why data literacy?

Information and data is the 2nd language of digital businesses. According to a survey, business leaders are struggling with data interpretation, which is causing an extensive deficit in data confidence. Therefore without data literacies skills, business leaders are unable to survive in this analytical economy nor capable to initiate cultural change associated with data across their company. 

Employees lacking skills to understand and work with data find it hard to match with the performance of data-savvy colleagues. This is normal given the colossal volume of data being generated every day. However, organizations need to take steps in educating professionals involved in making data-driven solutions. Relevant employees must speak data language and nurture communities where this semantic flourishes. 

A common platform to view, analyze, and share data is helpful. Employees working with data must have the competence to see and control it. With data visualization, literate employees can drill through complex data with ease and identify solutions to questions. Data familiarity helps the person, who is not well-versed in statistics to communicate with the person who does. 

Even with available data, it may not be relevant for making at-hand decisions. The capability to choose relevant data and find a solution is crucial. Communicate data in context and biases, which can guide the decision-makers along with everyone involved in the collection of statistics and analysis. The organization can benefit a lot from data-centric informed decision-making. 

Encourage a data literacy program and build a valuable data culture!

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