Defining and Identifying a Research Agenda for Evidence Based Management Framework- Tutorsindia.com

1. BUSINESS ANALYTICS DISSERTATIONHELP: DEFINING AND IDENTIFYING A RESEARCH AGENDA FOR AN EVIDENCE BASED MANAGEMENTFRAMEWORK An Academic presentationby Dr. Nancy Agens, Head, Technical Operations,TutorsIndia Group www.tutorsindia.com Email:info@tutorsindia.com

2. Today'sDiscussion OUTLINE In Brief Introduction BusinessAnalytics Categories of BusinessAnalytics Creating an Evidence-based Management Framework Decision Support Systems(DSS) Six A's Conclusion

3. InBrief You will find the best dissertation research areas/topicsfor future researchers enrolled in Engineering and Technology. In order to identify future research topics, we have reviewed the technical conventions. (recent peer-reviewedstudies). Business analyticsrefers to the systematic use of data collected from a variety of sources, quantitative and statistical analysis, predictive and explanatory models and evidence-based management to direct actions and decisions towards the appropriatestakeholders. Writing a business analytics dissertations, it isimportant for the researchers to have strong knowledge related to the approaches used and in the data science and machine learning which will help in writing business analyticsdissertation.

4. Organizations employ business analytics to make intelligent decisions, which can be made quicker and better in order to enhance the value of thebusiness. Introduction Until today, academicians and industrialists have focused mainly on descriptive and predictiveanalytics. Prescriptive analytics is gaining huge interest in terms of research in the business analyticsarea as it is considered as the best course of action for futurebusinesses.

5. BusinessAnalytics Business analytics refers to the systematic use of data collectedfrom a variety of sources, quantitative and statistical analysis, predictive and explanatory models and evidence-based management to direct actions and decisions towards the appropriatestakeholders. Business analytics incorporates the use of approaches such as data science, operational research, machine learning and information systemsfields. Business analytics deal not only with descriptive models but also with models that can offer valuable insights and support business performancedecisions. To this end, business analysis has developed beyond a simple raw data analysis on large datasetswith the goal of creating a competitive advantage fororganizations.

6. Categories of BusinessAnalytics Descriptive analytics, answering the questions “What has happened?”, “Why did it happen?”, but also “What is happeningnow?”; Predictive analytics, answering the questions “What will happen?” and “Why will it happen?” in thefuture; Prescriptive analytics, answering the questions “What should I do?” and “Why should I doit?”. While writing a business analytics dissertations, it is important for the researchers to have strong knowledge related to the approaches used and in the data science and machinelearning.

7. An Evidence-Based Management (EBMgt) methodology addresses highly important business issues using effective methodologies and implementations. Creating an Evidence- based Management Framework EBMgt is a data and theory-driven approach to decision-making, arguing that while managers cannot have full knowledge in ever-changing environments, the consistency of decisions is usually enhanced by taking data-driven facts intoconsideration.

8. Decision Support Systems(DSS) The classical concept of decision support systems (DSS) is a computer-based information systemleveraging data and/or models to support decision-makers solve semi-structured or unstructuredproblems. The classical what-if analysis of DSS is to take a question, apply a data-driven model to evaluate an outcome and compare that outcome with alternativeinterventions. This concept of data-driven decision making is an integral part of the Business Analytics System (BAF) of Holsapple, Lee-Post andPakath. DSS researchhas lasted for almost half a century, but interest in DSS techniques, methods, and implementation has recentlyincreased. Contd..

9. Fig 1. Four Elements of EBMgt

10. SixA's 1. Asking: transforming a real-world problem into an answerablequestion. Acquiring: the systematic search and gathering of proof. Appraising: to objectively evaluate the quality and validity of theevidence. Aggregating: weighing proof and putting it alltogether. Applying: Inclusion of evidence in the process ofdecision-making. Assessing: Evaluation of the outcomes of the decisionadopted.

11. Therefore, writing a dissertationin the field of business analyticscan be challenging; however, it is important to have a thorough understanding of the business analytics and evidence-based management and theircorrelation. Conclusion

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