In a world increasingly powered by data, data literacy is almost as important as literacy itself and an organisation’s ability to succeed will be dependent on its employee’s abilities and willingness to learn this new language.
Gartner defines data literacy as “the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value.”
If you break it down, data literacy is the ability to understand and translate data. If the Marketing team speak French, the Sales team speak Polish and the Operations team speak German and no one can speak a second language, communicating business value and why technology works would be impossible.
Employees must have the ability to communicate and understand basic conversations about data because as data becomes more critical to businesses, the ability to speak data, as it were, will be an integral part of most jobs.
This vital skill is the difference between being able to derive value from data and analytics and losing out to competitors who have embraced data literacy in their organisations.
How to Showcase Data Literacy
There are four key parts to data projects that need to be followed to ensure success.
Data literacy is a vital element in every professional’s development. The increase of data availability and the benefits that can be gathered by being able to understand and optimise this cannot go unnoticed. Organisations should continue to encourage and socialize data literacy concepts. Putting data to use and drawing new insights and opportunities (and not just collecting it) is key to progression in organisations.
Bethany (not Beth, it’s never Beth) is Project Manager. Most well known for her work with MBN Academy and The Data Lab, Bethany has led workshops on diversity and inclusion, employability and upskilling across the country. She has a cat and pretty much everyone worth knowing likes cats.