The International Journal of Business Analytics (IJBAN) is an indispensable resource for practitioners and academics that work in Business Analytics and related fields. Business Analytics is commonly viewed from three major perspectives: descriptive, predictive, and prescriptive. Business Analytics provides the framework to exploit the synergies among traditionally-diverse topics, such as the fields of data mining, quantitative methods, OR/MS, DSS, and so forth, in a more practical, application-driven format. The journal bridges the gap among different disciplines such as data mining, business process optimization, applied business statistics, and business intelligence/information systems. The journal supports and provides tools to allow companies and organizations to make frequent, faster, smarter, data-driven, and real-time decisions. This issue contains the following articles: Perceptions of Business Intelligence Professionals about Factors Related to Business Intelligence input in Decision Making Simulation of Stock Prediction System using Artificial Neural Networks Unusually Small F-Statistic in Analysis of Variance and Regression Analysis: A Warning in Design of Experiments and Regression Exploring the Dimensions of Mobile Banking Service Quality: Implications for the Banking Sector