Poor data literacy, culture challenges to accept change, and lack of relevant skills or staff, are the biggest internal roadblocks to success and business growth. Information language barrier exists between organizations rooted in effective communication across a wide range of diverse stakeholders. As a result, data and analytics leaders struggle to get their message across and information assets are underutilized. People, process, and technology, we hear that all the time. These are the three elements common to all business change. But now, any organization undergoing a digital transformation has to explicitly factor in a fourth key element, data. With the emergence of data, analytics, machine learning, and AI, as core elements of digital business and digital society, the ability of creators and consumers of solutions built on these elements to speak data has never been greater. Data literacy thus becomes a core element of digital transformation. As a result, over the next few years, data literacy will become an explicit and necessary driver of business value demonstrated by its formal inclusion in over 80 percent of data and analytic strategies and change management programs. Data literacy as we discussed is the ability to read, write, and communicate data in context. This includes an understanding of data sources and constructs, analytic methods and techniques applied and the ability to describe the use case, the application, and resulting value. Analytics leaders like CDOs report that poor data literacy is the second highest challenge behind culture challenges to accept change, and just ahead of lack of relevant skills or staff. A sustained data literacy program addresses all three of these roadblocks. The changes to business will be profound, creators and producers of data, analytics, and AI-based solutions, will benefit from a clarity of the business contexts for data and analytics, understanding how to ask a good question and apply critical thinking that delivers new business value of course, in an ethical manner as we've discussed. They'll also benefit from a shared understanding of data sources, data quality, and data elements across datatypes in order to drive greater business efficiency and effectiveness. Developing data literacy is an imperative for any organization designed to become data-driven. It's relevant and required across all industries, business domains, and geographies, and will benefit any business process roll and decision in which there is an opportunity to measure, manage, and monetize data. Similar to Six Sigmas popularity in the 1990s as a core competency, data literacy will impact all employees from the boardroom to the break room, becoming not just a business skill but a critical life skill. Given the increased demand for a data-driven workforce and awareness of the need for data literacy and deliberate competency development, leading organizations are already beginning to develop pilot initiatives and data literacy. However, while awareness of the data literacy challenge is emerging, only a few techniques and providers of data literacy assessments and training have emerged in the market. Offerings are expected to develop rapidly, consulting and professional services firms, software providers of self-service and citizen analyst tools, and boutique firms are emerging to address the demand. Universities will also rapidly accelerate their offerings to address the talent development gaps.