Why we need to learn how to "speak data" in a data-driven future

By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. Data literacy is the ability to read, work with, analyze, and argue with data. Data literacy is the ability to derive meaningful information from data, just as literacy in general is the ability to derive information from the written word. As data and analytics become core to the enterprise, and data becomes an organizational asset, employees must have at least a basic ability to communicate and understand conversations about data. Just as it is a given that employees are now competent in word processing and spreadsheets, the ability to "speak data" will become an integral aspect of most day-to-day jobs. Gone will be the days when data scientists, analysts, and statisticians are the only ones "speaking data."