Explain the potential benefit of data warehousing

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Reference no: EM132653556 , Length: word count:3000

ITECH7406 Business Intelligence and Data Warehousing - Federation University

Assessment Task - Data Analytics Assignment

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 Outcome 1: Investigate the scope and application of various technologies within a business intelligence system context.
Learning Outcome 2: Investigate the major approaches to the development of business intelligence and reporting systems.
Learning Outcome 3: Apply the theories and principles of data warehousing in diverse contexts.
Learning Outcome 4: Explain the potential benefit of data warehousing.
Learning Outcome 5: Describe the relationship between business intelligence and data warehousing.
Skills:
Learning Outcome 6: Apply business intelligence techniques using an industry standard approach to explore, extract and analyse enterprise datasets.
Application of knowledge and skills:
Learning Outcome 7: Communicate and foster realistic expectations of the role of technology and business intelligence systems in management and decision support.
Learning Outcome 8: 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:
Learning Outcome 9: Value the need to work collaboratively and autonomously on business intelligence and data warehousing problems.
Learning Outcome 10: 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.

Data Analytics 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
3. Variety of data analytics and quality of the findings
4. Quality of reference provided
5. Quality of overall team presentation
6. Quality of report writing.

Attachment:- Business Intelligence and Data Warehousing.rar

Reference no: EM132653556

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