The process of becoming data-driven starts with data literacy. A data-driven organization requires every solution, decision, and recommendation to be based on facts backed up by data and analysis, whether at the executive, middle management, or analyst level. Data literacy ensures these outcomes through better decision-making beyond opinions and better process performance beyond efficiency. However, it demands training and repetition to achieve various levels of proficiency. Those using data in an organization must understand available data and its possibilities and limitations, statistical principles to ensure valid analytics, and the use of tools for data visualization, analysis, and interpretation.
In this address, Mr. Laney will share ideas and best practices on how to make the business case for data literacy and the keys to successful data literacy initiatives, including intersections with data governance, change management, and self-service analytics.