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COMP1615 Business Intelligence and Data Mining Assignment Help

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COMP1615 Business Intelligence and Data Mining Assignment - University of Greenwich, London, UK

Learning Outcomes -

LO1. Understand the theoretical underpinnings of BI and DM methodologies, architectures, techniques and algorithms.

LO2. Conduct an audit and analysis of the BI requirements of an organization and contribute to the planning of a BI project as part of a Knowledge Management.

LO3. Critically appraise the Business process change requirements, and analyse/design, implement and evaluate the key elements of BI projects, including HCI, Business Reports and other aspects of building a successful BI system.

LO4. Critically evaluate and select appropriate DM facilities, algorithms/models and apply them and interpret and report the output.

LO5. Critically appraise the design and implementation of a DM application/technology using test/sample but realistic data sets and modern tools.

LO6. Integrate intelligent and DM elements into a BI systems development project.

Specification - You are a consultant in a Business Intelligence (BI) solutions company, seeking to identify industry opportunities for novel BI solutions. The company develops BI solutions that incorporate aspects of data warehousing, data mining, and dashboard design. After securing some venture capital, the company wishes to invest in a particular type of business domain and invites your expert advice, submitted in the form of a report which outlines:

A. The industry domain (e.g. retail, financial services, logistics, transport, gaming, health, education, etc.) that you believe the company should tap into, on the basis of current trends, demands and opportunities.

B. A review (based on evidence from the literature and past research) of current Business Intelligence technologies and solutions. This review should also support your chosen domain as a good investment for the future.

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As part of your consultancy, you are also required to develop and demonstrate a BI application (that you will choose to deliver) that will bring benefits to potential clients in the chosen industry area. To that end, your report should also include: The functional design of your application (using suitable diagrams and models of your choice).

C. Data models including data warehouse schemas.

D. A discussion of data mining algorithms that have been used in the prototype and a brief discussion of future approaches that could be used.

E. The actual data presentation (i.e. visualisation) used.

F. A critical discussion on the working prototype of your BI Application.

Deliverables - A brief self-recored video as demonstration (approximately 5-10 minutes) of what you have achieved. In the video, you need to demonstrate the required features of your BI solution and any further features you are planning to do. The minimum requirement is that you need to show the dataset and data schema and discuss answers for the following three questions:

Question 1 - What have you been doing? ( This includes identifying the domain (e.g. sport, retail, financial, health ...etc)).

Question 2 - Why have you implemented this BI solution? (This includes identifying questions you are looking to answer and the main aim of you BI solution).

Question 3 - How did you implement your BI solution? (This includes the tools, software, technologies, data mining algorithms and visualisations you use for implementation).

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If you are going to use PowerPoint slides, you can record your presentation using PowerPoint (just a suggestion), please check this link on how to use PowerPoint recorder. You can also record your screen that displays your database, the tools used for data mining and visualisations while talking through your solution.

A report (a single PDF file) consisting of all the following parts -

A. A short introduction to motivate your chosen domain.

B. A literature review of related work (including competitive solutions). This should include references and brief descriptions of any related work, emphasize any works on the same dataset.

C. Description of the data set that you would like to analyse with a justification of why this data set is worth analysis.

D. An Entity Relationship Diagram (ERD) of the conceptual design and the relational schema developed to store the data in a data warehouse schema.

E. Discussion and evaluation. Write between 400 and 500 words evaluating the system that you have produced. Be specific and justify any statements you make. Just saying things like 'my system is well designed" without justifying the statement will not gain you any marks. Your evaluation should include, but need not be limited to, the following aspects of your system:

i. Data Quality Extraction, Transformation and Loading process (ETL)

ii. Data warehouse design

F. Conclusions and any directions for future work

H. Appendix containing any code you used

H. A self-assessment form

Requirements - You can assume that any operational data is stored in a relational format and so your data warehouse must also do the same. You can use ORACLE, MySQL, or SQL Server to store the data. The requirements are such that you must provide some data mining features on some of the data. This can be integrated using R (or Weka). Finally, you must provide a dashboard for your BI tool. This dashboard can be created in any tool you wish. Special consideration will be given to visualisation solutions that are web accessible (i.e. those that are hosted and serve HTML5 for example). There are 3 marks going for web enabled visualisations.

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