Reference no: EM133156763
ITECH 7406 Business Intelligence and Data Warehousing
Assessment Task 1:
Overview
For this assessment task, you will need to form for a team of up to 5 members to conduct data analytics over a dataset. Students need to investigate the practice, approaches and understanding of business intelligence as it is being applied in the real world to realize organizational objectives. Students are expected to show innovation and creativity in applying SAP Business Object/Predictive Analytics/any other analytical tool and designing useful visualisation for different datasets.
Learning Outcomes: The following course learning outcomes are assessed by completing this assessment task: Knowledge:
K1. Investigate the scope and application of various technologies within a business intelligence system context.
K2. Investigate the major approaches to the development of business intelligence and reporting systems.
K3. Apply the theories and principles of data warehousing in diverse contexts. K4. Explain the potential benefit of data warehousing.
K5. Describe the relationship between business intelligence and data warehousing.
Skills:
S1. Apply business intelligence techniques using an industry standard approach to explore, extract and analyse enterprise datasets.
Application of knowledge and skills:
A1. Communicate and foster realistic expectations of the role of technology and business intelligence systems in management and decision support.
A2. Adopt problem solving and decision making strategies to communicate solutions with key stakeholders for a variety of issues relating to data warehousing and business intelligence solutions.
Values:
V1. Value the need to work collaboratively and autonomously on business intelligence and data warehousing problems.
V2.Appreciate the strategic importance of business intelligence data.
Assessment Details
A team of students first need to select a dataset of choice, design and develop the reporting solution/BI dashboard, and through research into the literature and analytics on selected dataset provide a comprehensive report.
You are welcome to find other datasets for the assignment. Please contact your tutor/lecturer to check if your dataset is appropriate first.
Once you have selected your dataset, each member should select a different analysis tool or a different analysis technique to analyse the dataset and create proper visualisations. The data analytics performed by individual members should be integrated together as a team effort. The analytics conducted by a team is expected to cover at least two types of analytics out of descriptive predictive and prescriptive ones. Based on your analytics results, give relevant recommendations to the management team of the related company or organisation. The team will also design and develop a reporting solution or BI dashboard for mobile users, and justify the design of it.
Assessment Task 2: Group Presentation
Subject to the teaching mode in Week 10, your team may need to give an oral presentation in class or create a video presentation using Kaltura Capture (or other video presentation tools), to report your findings in your data analytics work.
In case you need to create a video presentation, each member should create an individual video using Kaltura Capture to record both your PowerPoint slides and your face. The links to the videos should be included in a Word file in the proper sequence, and submit the file to Moodle. Please refer to the instructions on Kaltura Capture (https://federation.edu.au/staff/learning-and-teaching/elearning-hub/kaltura/how-to) to get familiar with the video recording tool and make your video accessible by the marker.
Assessment Task 3: Group Report
The data analytics report should draw on the dataset to give the insights into the data through diverse data analytics and present your recommendations to the management team. The report should include a comparison and integration of the tools/solutions/visualisations used by different team members, as well as the design and development of your reporting solution or BI dashboard. Please check the marking criteria for the detailed requirements of the report.
Minimum words: 3000
Data analytics report must include at least 10 references in APA style together with in-text citations.
The report should follow a formal report structure with cover page, table of contents, introduction, use of headings, subheadings, conclusion sand reference section.
Marks would depend on the following factors:
1. Depth of research to illustrate the BI application chosen
2. Quality of the developed BI dashboard/reporting solution (with necessary screenshots and QR code)
3. Variety of data analytics and quality of the findings
4. Quality of reference provided
5. Quality of report writing.
Assessment Task 4: Student Self-Reflection- individual report
This deliverable is an individual work and can be attached to your data analytics report.
In this part, each student will write a one-page-long reflection report covering the following points:
• Personal understanding of course content, and personal insights into the importance and value of the course topics.
• Three most useful things you have learned from the course, and explain how they could help your current learning and future professional career.
• Personal feeling of SAP products used in lab exercises and assignments.