Considerable research has been conducted on the topic of information overload using different approaches, from marketing and customer demand to information technologies and sciences, and even among mental health professionals. In business the critical question is how does information overload impact processes, operations, and profitability, and how can data visualization help to solve issues with data management and consumption in organizations. The ability to quickly and effectively process information and make decisions equates to organizational survival in a dynamic, knowledge-based economy where all segments of society are heavily affected by information technologies and systems and data management industries. The growing number of systems apparatuses challenges both individuals and organizations, resulting in reports of fatigue and experiences that compromise successful performance. The objective of this literature review is to discuss how data visualization tools help address information overload and optimize decision making and the business intelligence process in organizations. It concludes that data visualization, indeed, is critical in helping individuals capture, manage, organize, visualize, and present understandable data, but that decision making is affected by cognitive factors that interfere with data processing and interpretation in decision makers.

The unquestionable demand for data generation and consumption in organizations in this century prompt an increasingly notion of data as a valuable asset, provoking the urgency for reliable analysis and reporting of complex data assets towards a critical business decision making process. Computing languages like SQL, Sequential Query Language, Data Mining and Warehouse, and data visualization tools are some examples of how information technology is being applied to the problem solving strategy related to data governance and management. The objective of this article is to provide an overall framework for effective data governance, through the examination of the hierarchy data-wisdom, that can be applied to business processes improvement and business intelligence approaches. Its purpose is to present roadmaps that will lead to superior management decisions impacting the pipeline and the relationship between leaders, staffs, stakeholders, and the corporate governance in terms of data processing and consumption. This literature review work presents the argument that effective use of information technologies, the consolidation of a learning culture, and the fostering of a technological framework that is insightful and enabler of a responsible and steward data management process have decisive impact in the business processes operations and strategies in which leadership plays a …

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study comparing the use of paired medical hashtags on Twitter and the statistical structure of the components in the hashtag trails.

Wisdom is defined as “a uniquely human quality demonstrated through an ability to apply self-insight, experience, and sound judgment in conjunction with applicable data, information, and knowledge to create a course of action leading to beneficial and productive decisions for both individuals and society” (Allen et al., 2020, p. 159). Using this definition as a foundation, this research explores how veterans use wisdom to enhance the workforce through perspective, experience, and resilience.