Reference no: EM132536575

COMP30026 Business Intelligence Analytics - Middle East College

Learning Outcome 1: Assess the conclusions obtained based on the business data presented to an analytical tool.

Learning Outcome 2: Apply the business analytics life cycle/process (identify the problem, describe the data, analyse the data, interpret the results, and make presentation on recommendations).

Objectives

Aim of this assignment to evaluate the student's performance on concepts of "Business Intelligence and Analytics" that would be reflected through the portfolio on the business analytics tools and techniques. The roles of data mining in business decision making through exploration by the data analysis tool.

Part -1 The proposal should submit on time that consists of an initial understanding of task-2, reading resources for each sub-task, timeline, and references. Submission date 10/06/2020 (23:59)

Part -2 Mr. Ahmed Al Balushi is the owner of "XYZ Supermarket" at Ruwi in Muscat. The public of the Muscat and nearby areas prefer shopping in Ruwi regularly and significantly increase during festival sessions of the year. There are 15 hypermarkets like XYZ and average every year 2 new hypermarkets are opening. Nowadays, he noticed that number of visitors decreasing and visited you for advice to improve customer relationships. As a data scientist, you have to suggest him to use effective tools, techniques, for analyzing historical data and take action accordingly. Moreover, you should specify which kinds of data mining techniques and tools required, and why?

Develop a synopsis "Data mining tools and techniques" based on the following article <Uploaded in Moodle> within 600 words and 10-15 citation minimum. You should clearly mention the required information based on the scenario. The given article is just for reference, you have to use the text and reference books, moodle materials, and online materials.

Chris Rygielski, Jyun-Cheng Wang, David C. Yen, Data mining techniques for customer relationship management, Technology in Society, Volume 24, Issue 4, 2002, Pages 483-502, ISSN 0160-791X,

Part -3 Apply clustering or linear regression analysis for any relevant data set (you may collect from a known organization or online public repository. The following steps must be included [ 6 marks for each (a) to ( e ) and 10 marks for ( f)
a) Data set collection (Mention the source, format, and fields of data set).
b) Explain the target for analysis (why do you want to do the analysis?)
c) Perform cleaning and transformation (select target fields and records)
d) Apply clustering / linear regression by any suitable tool (e.g. PSPP)
e) Discuss the outcome of the analysis (findings: diagram, values)
f) Develop a poster by using findings of (a) to (e)and basic information of you and module.

Attachment:- Business Intelligence Analytics.rar