Examine and evaluate decision making systems

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Reference no: EM132359065 , Length: word count:2000

Business Decision Analytics Assignment - Research Analysis Report

Learning Outcomes -

a) Select and evaluate the usefulness of a range of decision making tools and reflect on your decision-making styles and contrast with other styles to determine the respective levels of rationality and intuition utilised.

b) Compare, contrast and critically evaluate sources of data as influences for decision-making in a range of business contexts.

c) Examine and evaluate decision making systems and techniques to engage group decisions and analyse how these can enhance sustainable outcomes.

d) Critically examine emerging tools and technologies for decision making.

Context: Workplaces today are changing rapidly in parallel with rapid advances in technology and means of communication with teams separated in terms of space and time, that is different geographic locations and time zones, not only within countries, but also across continents. This is something that we in Torrens adapt to on a daily basis as part of a global organisation. We need to take into account not only time and space, but other elements of diversity to collaborate effectively for organisational outcomes.

Task: This assignment is designed for you to critically reflect on key themes for this subject: individual and group decision-making processes; sources of data and analysis, including usage of data analytics for organisational decision-making, and the influence of bias in effective decision-making.

In doing so, you should consider a meaningful work challenge - a project that requires many decisions to be made- that is relevant for you- in your current, or recent workplace. [NOTE: Torrens University is a workplace and you have a special role in it.].

Your task is to analyse the project from the perspective of decision-making points/stages. In the analysis, you are to consider:

1. The sources of data, and the use of data analytics to identify trends/ patterns that form the evidence for decision-making;

2. Show visualisation of the decision-making process, and analytics to support the decision- making;

3. Select at least three decision-making tools and technologies from within the subject modules and show their application for your project. Consider if the decision would be the same/ different by using multiple methods.

4. Present the findings of your results in a business style report that includes clear headings to guide the reader and visualisation of the data sources/trends/ patterns, and is underpinned with evidence from relevant contemporary literature, including major resources from within the subject modules.

5. Reference according to the APA 6th. Ed. reference style guide.

Attachment:- Business Decision Analytics Assignment Files.rar

Reference no: EM132359065

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Reviews

len2359065

8/21/2019 2:26:19 AM

Length - Up to 2,000 words. Submission Instructions: Submit your report to Turn-It-In. Submit your report and TII report via the Assessment link in MGT602 Business Decision Analytics on the Student Portal. The Learning Facilitator will provide feedback via Grade Centre in the Student Portal. Feedback can be viewed in My Grades.

len2359065

8/21/2019 2:26:11 AM

Learning Rubric: Comprehensive and sophisticated reflection on individual, group and business decision-making and the use of analytics is evident, including implication of bias and blind spots for decision-making. Sophisticated analysis of at least three decision-making tools and technologies, with reference to conceptual frameworks, data analytics and their workplace application. Excellent logic and structure. Concise, accurate Executive Summary Conclusion accurately captures deep learning and insights. Creative and engaging visual representation of data trends/ patterns. Sophisticated references support comprehensive argument and application of major concepts from within subject learning resources. High level of accuracy of in-text citations and reference list according to APA 6th ed. style guidelines.

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