Data are growing at an exponential rate nowadays. In order to take advantage of them, it is important for businesses and organizations to be able to make sense out of them by determining the trends, patterns and underlying insights of the gathered data. Hence problems can be detected early before they result in actual damage. Some examples of data analytics cover tasks of finding suspicious records in accounts payable, evaluating activities of business processes, modeling customers' behavioral patterns and deriving the best strategies in business decision etc. Such complex tasks go beyond simple statistics. Advanced tools such as data mining, data modeling, data visualization, and information analysis etc. have been extensively researched recently. The objective of this workshop is to provide an interactive platform for academic researchers and industrial practitioners to exchange ideas, disseminate the latest development in data analytics and data visualization. Conceptual models, tools, and current issues are encouraged to be discussed.