Assignment Task:
- Individual Analytic Report
- Team Report
- Team Presentation
There are new and exciting developments that are taking place in the Business Intelligence literature that is constantly shaping the use and implementation of Business Intelligence and Data warehousing tools and applications in organizations. This objective of this assessment is to:
1) Provide a forum for students to investigate the practice, approaches and understanding of business intelligence as it is being applied in the real world to realize organizational objectives.
2) Allow students to show innovation and creativity in applying SAP Business Object/Predictive Analytics/any other analytical tool and designing useful visualization for different datasets.
Students are expected to select a data set of choice and through research into the literature and analytics on selected dataset, provide answer to one (1) of the of the following research questions:
Question 1: How can data analytics provide (business) value to users and/or organisations?
Question 2: How do cultural and/or organizational issues impact the data analytics over the selected data set?
Question 3: What is the impact of data analytics to the related industry sector (any new business models, new types of services, new regulations, etc. could be resulted in)?
Once a team has been formed, and a dataset selected, there are three deliverables to this assessment.
1. First, each student is expected to apply one analytical tool to develop innovative analytics and visualization of the selected dataset. This will be submitted as an individual report (1500 words) in week 8.
Note: Each member of the team must select a different analytical tool for the same data set.
2. Second, the team will be required to integrate the data analytics performed by each team member. This will be delivered as a 10 minute presentation in Week 10.
3. Finally, the team will submit a research report that draws on the dataset, to answer one of the research questions. The report should include a comparison and integration of the tools/solutions/visualizations included in the individual data analytic reports. (3000 Words)
Group report must comprise at least 10 references.
Please note that all references must adhere to APA style.
Individual Analytics Report Tasks:
What are the BI reporting solution/dashboards you will need to develop for the Senior Executives of chosen data Set- You must have at least two types of analytics i.e Predictive/prescriptive/ descriptive
Design Mobile application using QR code for your insights /solutions/dashboard - Please provide your QR code in your assignment.
Justify why these BI reporting solution/dashboards are chosen and why those attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications using the academic articles). Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use 'Snipping tool'), and also include any assumptions that you may have made about the analysis in your assignment report (i.e. the report to the senior executive team of the company).
Furthermore, the CEO would like to improve the operations. Based on your BI analysis and the insights gained from "Data Set", make some logical recommendations to the CEO, and justify why/how your proposal could enhance company operations, sales etc. Include the relevant screenshots of the BI analysis, and also any assumptions that you may have made about the analysis.
Report is well-written and presented professionally, containing:
A) Title page
B) Executive Summary (outlining the scope of report, key findings and recommendations)
C) Table of Contents
D) Appropriate use of headings within report
E) Appropriate use of figures (i.e. graphs, summary tables) and
F) References (APA Style)- in text and bibliography (10 articles).
Note: You need to select only one SAME data set for all the team. But you need to use different analytical tools for each student is expected to apply one analytical tool to develop innovative analytics and visualization of the selected dataset.
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