Decision Analytics Journal

Decision Analytics Journal is a forum for the exchange of research findings, analysis, information, and knowledge in organizations on areas that include but are not limited to:

• Predictive Modelling - Decision Analytics encourages research endeavors that identify organizational risks and opportunities by exploiting historical and transactional data patterns.

• Simulation Modelling - Decision Analytics promotes the application of simulation in organizational contexts to examine and compare options and scenarios before implementation.

• Optimization Modelling - Decision Analytics promotes research that can help decision-makers make the best choice using various optimization models.

• Prescriptive Methods - Decision Analytics invites research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers.

• Business Intelligence - Decision Analytics invites research utilizing the latest artificial intelligence, machine learning, data mining, and performance management techniques to help decision-makers gain and sustain a competitive edge.

The journal views an organization as a group of people who come together to achieve a common goal or purpose. It typically has a structured framework, defining roles, responsibilities, and authority to guide the collective effort toward its objectives. Organizations can take various forms, including businesses (profit-driven entities like corporations), nonprofits (charitable entities like social service agencies), government (public service agencies), societies (groups with shared interests), educational institutions (schools and universities), and healthcare (hospitals, clinics, pharmacies, health insurance providers) among others. Decision Analytics Journal is comprised of four Departments:

• The Descriptive Analytics Department handles manuscripts and studies that answer what happened by analyzing historical data and extracting hindsight about the past without explaining why.

• The Diagnostic Analytics Department handles manuscripts and studies that answer why something happened by measuring historical data against other data (i.e., benchmarks) and extracting insight into the present.

• The Predictive Analytics Department handles manuscripts and studies that answer what will happen using descriptive and diagnostic analytics findings to provide foresight for the future.

• The Prescriptive Analytics Department handles manuscripts and studies that answer what to do using descriptive, diagnostic, and predictive analytics findings and prescribe for the future to eliminate a problem or take advantage of a promising trend.