Gregory P. Crawford, President of Miami University of Ohio, emphasizes the importance of data literacy for C-suite leaders in today’s fast-changing business landscape. He argues that leaders must be more involved in data analysis and decision-making rather than simply delegating tasks to quantitative teams. Crawford believes that data literacy is essential for leadership but that leaders also need to possess well-developed human qualities to effectively deploy data.
He suggests that storytelling is a powerful tool for leaders to transform data into compelling narratives that can reach a wider audience. By starting with the outcome and building the narrative from there, leaders can engage their audience more effectively. Crawford uses the example of the declining rate of high school graduates to demonstrate how data can be used to understand challenges and propose solutions in higher education.
Questioning everything and maintaining a skeptical eye towards data is another crucial aspect of data-driven leadership, according to Crawford. He emphasizes the importance of verifying data accuracy, relevance, and avoiding biases or errors in statistical arguments. Leaders should be proactive in challenging assumptions and ensuring that the data they are using is robust and accurate before making decisions.
Ethical considerations are also paramount in data management and analytics. Crawford stresses the importance of ethical data practices beyond legal compliance, highlighting the need for leaders to take responsibility for the impact of data activities on individuals and society. He advocates for a mindset that considers the ethical implications of data usage, including potential disparities and unintended harm to certain groups.
In higher education, data is used to promote student success and improve services. By tracking student engagement and conducting surveys, institutions can better understand student needs and tailor services accordingly. Crawford underscores the importance of managing data ethically to benefit individuals, organizations, and society as a whole. Overall, he believes that leaders need both quantitative skills and a human-focused approach to effectively leverage data for decision-making and forecasting.
