It is important to have easy access to data sets to exercise these skills. Everyone in an organization who is involved with data-driven business decisions should be able to think critically about what data they are using for analytics, and how they interpret the results. One example is where a business team can identify areas where there are data gaps. The augmented analysis allows for quick access to critical data. It also makes reports more understandable. To be data literate, businesses must teach their employees.
Data Literacy Examples Include:
• The Adoptive Framework can be used to create a Data Literacy training Program.
• When working with spreadsheets, an employee discovers why a set of data resulted in a decision. They also gain a deeper understanding of the business domain and can argue for a different course.
• A work team identifies where data clarification is needed for a particular project.
Businesses Must-Have Data Literate Employees To:
• You can communicate using a shared language of data to better understand each other's conversations
• Unexpected operational issues can be identified and fixed
• Prevent poor data interpretation from leading to poor decisions
How Can Your Organization Increase Data Literacy?
Recognize the challenges facing your organization about data literacy.
1) Culture. Many organizations have historically restricted data access to those at the highest levels of management. Are there cultural changes that need to be made in your organization so that employees can have access to the data (assuming all regulations and governance policies are kept)? has a report that outlines the dividends of data culture.
2) Be Attentive: Ensure that your workers understand and have the skills to use data. Then, examine their actions and make sure that there are no gaps. Identify data leaders and encourage data sharing among peers. Encourage individuals and groups to reflect on their decisions, actions, and the outcomes they achieved.
3) Technology. Does your organization have a technology platform that allows for data access? Take a look at the blog Data Control Planes for more information about such technologies. Many organizations are siloed, not just in their structure, but also in how they source data. Decide if it is possible to remove silos and allow intelligence to flow freely within your organization.
What Is The Future Of Data Literacy
Our goal is to be a data-driven organization today. We typically invest in self-service analytics tools, and we enroll our workforce into data classes and certification programs. We encourage a culture of analytics. This is where everyone learns to create dashboards, query databases, and act in the role of a data analyst. Through this, we want people to become data literate. They will be able to take action and make better decisions, all informed data.
This is the consumer world. We use AI to optimize driving routes, travel times, and other aspects of our lives. Asking complex algorithms-related questions to our devices, but using everyday language and our voices, we communicate with them. Sometimes we don’t even realize we’re interfacing with our devices. Devices like smartwatches operate in the background and notify us when there are irregular heartbeats.
Consumers use advanced data analytics every day to make better decisions. And this happens without ever using a BI tool, learning dashboards, or signing up for an analytics program. We then make the mistake of assuming that "closing up the skills gap" means teaching our workforce data-driven decisions and asking people for analyst certifications.
Companies are now realizing that upskilling their workforce doesn't help them build an analytics culture. They will measure data literacy differently than what tools they use, and by the value and outcomes of their decisions. They will make analytics, insights, and data management as easy as using consumer apps. Those who do so will build a truly data-driven organization.