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Aims and scope

The Decision Analytics journal is a forum for exchange of research findings, analysis, information, and knowledge in areas which include but are not limited to:

  • Data Mining - Decision Analytics journal seeks research articles that show how to utilize a wide range of statistical methods, data visualization techniques, and pattern recognition approaches to help decision-makers leverage the knowledge hidden within organizational data.
  • Predictive Modeling - Decision Analytics journal encourages research endeavors that identify organizational risks and opportunities by exploiting patterns found in historical and transactional data.
  • Simulation Modeling - Decision Analytics journal promotes application of simulation in enterprise and organizational context for examining and comparing options and scenarios prior to implementation.
  • Optimization Modeling - Decision Analytics journal promotes research that can help decision-makers make the best choice by means of various optimization models.
  • Prescriptive Methods - Decision Analytics journal invites research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers.
  • Business Intelligence - Decision Analytics journal invites research that utilizes the latest techniques in data mining, analysis, and performance management to help decision-makers gain and sustain a competitive edge.