Develop innovative analytics and visualization of dataset

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Reference no: EM132365371 , Length: word count:1500

Business Intelligence and Data Warehousing Assignment -

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:

(i) 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.

(ii) 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:

1. How can data analytics provide (business) value to users and/or organisations?

2. How do cultural and/or organisational issues impact the data analytics over the selected data set?

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). 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.

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/visualisations included in the individual data analytic reports. (3000 Words).

Group report must include at least 10 references.

Please note that all references must adhere to APA style.

Assignment - 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:

Title page
Executive Summary (outlining the scope of report, key findings and recommendations)
Table of Contents
Appropriate use of headings within report
Appropriate use of figures (i.e. graphs, summary tables) and
References (APA Style)- in text and bibliography (10 articles)

Note - Only need analytics part - 1500 words.

Attachment:- Data Warehousing Assignment File.rar

Reference no: EM132365371

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Reviews

len2365371

9/3/2019 10:23:38 PM

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. Please note that all references must adhere to APA style.

9/3/2019 10:23:18 PM

Marks would depend on the following factors: Depth of research to illustrate the BI application chosen, Quality of reference provided, Quality of overall team presentation, Quality of report writing. Make sure your follow formal report structure with cover page, introduction, use of headings, subheadings, conclusion sand reference section. A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully.

9/3/2019 10:23:08 PM

Assessment Criteria: Information is well organized, well written, with proper grammar and punctuation are used throughout. Correct layout used. Introduces the topic of the report in an extremely engaging manner which arouses the reader's interest. Gives a detailed general background and indicates the overall "plan" of the paper. All topics discussed in depth. Displays deep analysis of issues with no irrelevant info. An interesting, well written summary of the main points. An excellent final comment on the subject, based on the information provided. Correct referencing (APA). All quoted material in quotes and acknowledged. All paraphrased material acknowledged. Correctly set out reference list.

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