Astrophysicist Neil deGrasse Tyson once said, “Science literacy is the artery through which the solutions to tomorrow’s problems flow.”
The same can be said for data literacy. It unlocks the answers to business problems and holds the key to business success. But despite the fact that data literacy is now a required skill at many organizations, a data literacy survey by Accenture found that only 21 percent of 9,000 employees were confident in their data literacy skills.
Data literacy involves the ability to read and analyze data and find meaning and patterns in the information, statistics, and charts. It also includes molding and cleaning data to make it easier to process. And perhaps most importantly, it means understanding how to articulate and share what the data shows, enabling people to act upon it with confidence and make better decisions.
Companies are responsible for ensuring not only that their employees gain data literacy, but also that they have access to both data and the necessary tools. Democratizing data helps empower everyone to make informed decisions.
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Empowering those on the edge
Edge computing brings computing power closer to the source of data. Data-driven companies recognize the value of this model and are empowering their employees who work “on the edge” by enabling them to access and share critical data. From sales associates to delivery and repair workers, workers on the edge are leveraging data to do their jobs better.
Leveraging data literacy not only helps employees do their jobs better, but it also enables them to gather and share valuable data – which in turn boosts the company’s data wealth and improves the user experience.
Consider the following examples:
- Appliance repair technicians can access data on inventory or parts and determine the fastest and most economical delivery of needed components.
- A retail sales associate can maintain and upload data on a specific customer’s buying preferences to make better recommendations and personalized service.
- Restaurant servers can leverage data analytics on popular dishes to make more informed recommendations to customers or to quickly identify ingredients.
There’s a clear give and take to how data is consumed and shared in a data-driven organization – the challenge is in fostering greater data literacy enterprise-wide.
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5 data literacy best practices
Here are five best practices to help leaders and companies do this:
1. Make a top-down commitment
Data analytics has not always been the domain of the C suite, and CEOs have historically turned to analysts to translate data trends. But if senior-level staff become data literate, they can help instill a data-driven culture across the company.
2. Offer both hard- and soft-skills training
All employees should be offered the opportunity to learn data analytics, including hard skills such as statistics, retrieving data, and reporting or navigating technology as well as soft skills such as communicating with customers, understanding data patterns and using them to solve problems, and more.
3. Reward employees
Frontline workers who leverage their data literacy skills to boost the customer experience, help co-workers, or contribute to company growth through data analytics should be rewarded for their efforts through public recognition, bonuses, gifts, paid time off, and other incentives.
4. Encourage collaboration with IT
Data analytics may no longer be confined to the IT department or data scientists, but they still play a crucial role. It’s important that all workers share what they want to achieve from the data with IT and enable data science teams to optimize the data, cleaning and structuring it as needed.
5. Create a Center of Excellence
Enterprises that take data analytics seriously often create centers of excellence, comprised of power users and data-driven people. This strategy goes a long way toward evangelizing the rest of the company.
Data in all forms is increasingly the lifeblood of successful organizations, informing their every move and strategic business decision. To make the most of this powerful resource, every employee, regardless of their role, must become data literate: able to read data, communicate the message it reveals, and act upon it for a successful business outcome.
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