MGT602_Assess 3_Research Analysis 1 of 4 A SSESSMENT 3 BRIEF Subject Code and Title MGT602 Business Decision Analytics Assessment Research Analysis Report Individual/Group Individual Length Up to...

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MGT602_Assess 3_Research Analysis 1 of 4 A SSESSMENT 3 BRIEF Subject Code and Title MGT602 Business Decision Analytics Assessment Research Analysis Report Individual/Group Individual Length Up to 2,000 words 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 Submission 12 week class: By 11:55pm AEST/AEDT Friday of Module 6.1 (Week 11) Intensive 6 week class. By 11.55pm AEST Friday of module 6.1 (week 6) Weighting 40% Total Marks 40 marks 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. MGT602_Assess 3_Research Analysis 2 of 4 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.]. CHECKPOINT: Submit a draft of your outline and discuss your report proposal with your Learning Facilitator by WEEK 9. 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, available at Student Hub @ Torrens. Submission Instructions: 1. Submit your report to Turn-It-In. 2. Submit your report and TII report via the Assessment link in MGT602 Business Decision Analytics on the Student Portal. 3. The Learning Facilitator will provide feedback via Grade Centre in the Student Portal. Feedback can be viewed in My Grades. MGT602_Assess 3_Research Analysis Page 3 Learning Rubric: MGT602 Assessment 3 Research Analysis Report 40% (40/100 marks) Assessment Criteria Fail (Unacceptable) 0-49% Pass (Functional) 50-64% Credit (Proficient) 65-74% Distinction (Advanced) 75 -84% High Distinction (Exceptional) 85-100% 1. Critically reflect on the key themes for this subject: individual, group decision-making and business analytics, and reduction of bias for more effective business decision-making. (25% -10 marks) Little or no authentic personal reflection on individual, group and business decision-making and the use of analytics for organisations. No, or limited reflection on bias Some personal reflection on individual, group and business decision-making and the use of analytics in organisational decision-making is evident, Some reflection on bias is evident. A clearly authentic personal reflection on individual, group and business decision-making and the use of analytics is evident, with clear links to the influence of bias on decision- making. Comprehensive reflection on individual, group and business decision-making and the use of analytics, with clear links to the influence of bias on decision-making. 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. 2. Examine and analyse at least three decision-making tools and technologies to demonstrate their application in the workplace. (25%- 10 marks) Little or no reference made to conceptual frameworks and explicit decision-making tools and technologies. Basic coverage of at least three decision-making tools and technologies, with reference to conceptual frameworks, data analytics and their workplace application. Clear analysis and comparison of at least three decision- making tools and technologies, with reference to conceptual frameworks, data analytics and their workplace application. Well-developed analysis and comparison of at least three decision-making tools and technologies, with reference to conceptual frameworks, data analytics and their workplace application. Sophisticated analysis of at least three decision-making tools and technologies, with reference to conceptual frameworks, data analytics and their workplace application. 3.Prepare a business style report with clear headings and visual interpretation and presentation of data trends/ patterns (25%- 10 marks) Report lacks logical coherence and clear structure Limited data analysis and no visual representation of data. Report has basic logical flow and structure. Basic concepts and analysis are explained Attempts basic visual representation of data. Report has a clear logical flow and structure. Clear expression of concepts and analysis. Adequate visual representation of data trends/ patterns Report has a strong logical flow and structure. Accurate Executive Summary. Conclusion accurately captures key learning. Clear visual representation of data trends/ patterns Excellent logic and structure. Concise, accurate Executive Summary Conclusion accurately captures deep learning and insights. Creative and engaging visual representation of data trends/ patterns. 4.Support your argument with relevant contemporary literature including major resources from within the subject modules. (25%- 10 marks) No, or few references from within subject learning resources. Many errors in text citations and reference list according to APA referencing guidelines. Makes some attempt to use relevant references from within subject learning resources. Several major and minor errors in text citations and reference list according to APA referencing guidelines. References support an adequate argument and application of major concepts from within subject learning resources. Several minor errors in text citations and reference list according to APA referencing guidelines. References support a mostly comprehensive argument and application of major concepts from within subject learning resources. Strong level of accuracy of in- text citations and reference list according to APA 6th ed. style guidelines; minor errors. 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. MGT602_Assess 3_Research Analysis Page 4 Learning Rubric: MGT602 Assessment 3 Research Analysis Report 40% (40/100 marks)
Answered Same DayAug 09, 2021MGT602

Answer To: MGT602_Assess 3_Research Analysis 1 of 4 A SSESSMENT 3 BRIEF Subject Code and Title MGT602 Business...

Parul answered on Aug 11 2021
124 Votes
Research Analysis Report
Research Analysis Report
MGT602 Business Decision Analytics
Contents
Introduction    2
Essence of Decision Making    2
Power of Data Analytics to Discern Patterns    3
Roadblocks of Taking Effective Decisions    4
Visualisation of the decision-making process, and analytics to support the decision-making    7
Data Source    7
Understanding the Consumer Base through Research    7
Investigation of Return of Investment    8
Technique of Visualization    8
Johari Window    8
Leveraging Technology &
its Tools to make decisions    10
Conclusion    10
References    11
Introduction
In our normal everyday exercises whether in close to home lives or in our expert lives, we frequently face circumstances loaded up with decisions or options. How often do you trust your Intuition? Do you think it is always fruitful or optimal to follow your gut? I mean just think about it, more often than not, we are constantly under the play of cognitive biases that control our thought process. Decisions may include choices for answer for an issue close by, picking a way at go across street, (for example, go or off-limits choices) and so on. Also, we have to choose the apparently most ideal choice or choice to push ahead. Dynamic is one of the most significant essential administration aptitudes for us all. It is a psychological capacity. It can vary from individual to individual. Settling on choice which are convenient and which depend on cautious investigation of different data is basic to our prosperity. Dynamic is a propensity just as a procedure. Choices should not be taken in scurry nor be procrastinated uncertainly. Dynamic can be hard now and again.
Essence of Decision Making
Effective decision making is a crucial component of current business and the executives. Essentially, sane of acing dynamic is grasping the most ideal choice or most ideal choice from numerous other options. Fundamentally, the executives and manager take hundreds and a few decisions subconsciously or deliberately making it as the key part in the activity of a boss. Decisions expect huge employments as they choose both various levelled and managerial activities.
A decision can be described as a technique purposefully perused a great deal of decisions to achieve various levelled or managerial targets or goals. Methodology of dynamic is interminable and key piece of managing any affiliation or business works out. Decisions are made to help the activities of all business practices and various levelled working. These choices and determination of which decisions are made at every level of the board to ensure progressive or business destinations are practiced. Further, the decisions make up one of focus helpful characteristics that every affiliation grasp and realizes to ensure perfect turn of events and drivability to the extent organizations just as things publicized.
Power of Data Analytics to Discern Patterns
Area of Analysis of information in its centre is the investigation of analysing rough data in order to settle on choices about that information. Immense quantities of the techniques and methodology of data examination have been robotized into mechanical strategies and counts that work over rough data for human use. Data assessment systems can reveal examples and estimations that would somehow be lost in the mass of information. This information would then have the option to be used to propel techniques to manufacture the overall viability of a business or structure. Data assessment is a far-reaching term that wraps various kinds of data examination. Any sort of information can be presented to data examination procedures to get information that can be used to improve things.
Basically, information examination is a wide term that incorporates various kinds of data examination and investigation that can assist with distinguishing significant examples and patterns. Any sort of information can be presented to data assessment strategies to get understanding that can be used to improve things. For example, creating associations normally record the runtime, individual time, and work line for various machines and a while later examine the data to all the more probable plan the rest of the main jobs so the machines work closer as far as possible. Data examination can do extensively more than point out bottlenecks in progress. Gaming associations use data examination to set prize schedules for players that keep the greater part of players dynamic in the game. Content associations use a significant part of comparable data assessment to keep you clicking, survey, or re-sifting through substance to get another view or another snap.
Roadblocks of Taking Effective Decisions
Well, the central premise in the book is the dichotomy between the 2 modes of thought. Daniel Kahneman says our brain pretty much switches between on and off-state! We have two systems that control our entire thought process thereby controlling our lives.
The first system is more like instinctive, emotional, sort of like an automatic system. It is referred to as the fast...
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