Prepare a project plan and implement a model solution

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Reference no: EM131692751 , Length: word count:3000

DATA ANALYTICS FOR BUSINESS

This team assignment is designed to provide you with an opportunity to gain hands-on skills with Business Analytics software, specifically SAS Enterprise Miner, SAS Enterprise Guide and tableau.

It consists of two parts (see full details below). In brief, your team will:

1. Identify an organisation/problem, prepare a project plan and implement a model solution.
2. Present your solution to the class during practical sessions.

{Related to this project you will carry out an individual research proposal this is designed to give you sufficient background to assist the team in brainstorming ideas for the final proposal, and to develop your understanding of the theory behind business analytics}

PART 1 DATA DRIVEN DECISION MAKING WITH SAS ENTERPRISE MINER

Overview
One of the main activities of managers in any sector is to make decisions. For example, a manager might ask: Which classes of customers should I target for new product promotions? What kinds of customers should I be careful to evaluate in credit card applications? Which products can I sell to customers as a package?

Your task for this assignment is to identify and fully describe the specific requirements for a decision task of your own design. Specifically, your team will produce a report (not exceeding 3000 words) that will:

- Identify the decision situation with problem description and requirements. (HINT: Describe the background to the decision to be made, identify the variable which you are trying to predict, and any constraints.)
- Consider what type(s) of data will be needed as input into your decision making model. (HINT: Where will it come from? What format will the data be in, e.g., financial data drawn from company sales transactions, composition or other scientific data from testing a product, opinion data from a survey?)
- Discuss the model used to analyse the data and reach a decision. (HINT: Will you use classification or clustering or other model? Is the decision a strategic, tactical or operational one?)
- Visualize the data using Tableau (HINT: draw on design principles from class readings, and visualization techniques learned in class, consider enhancing the data where necessary (e.g geocoding or bringing in complementary data sources)
- Analyze the data using SAS Enterprise Miner. (HINT: use lab time and the assistance of tutors; you can pre-process the data in MSExcel if you wish.)
- Make a decision based on the analysis, and justify your decision. (HINT: Justification might include presenting various scenarios, and presenting and explaining graphical output from SAS)

Part 2:

Your team has 20 minutes maximum to present your solution to the class (including set up and pack up time). It is expected that the presentation will be of a high quality, and the use of presentation software (e.g., PowerPoint) is recommended.

For the presentation, marks will be allocated to the team (maximum 5%) as well as individual team members (maximum 10%), for a total weighting of 15%. A paper peer evaluation system be put in place to provide additional qualitatitve feedback, but no marks are allocated for this.

The following constraints apply to your presentation:
- All group members must present as individual marks will be awarded for each team member's presentation skills/style.
- Your team presentation should cover:
o Description and Scope of Problem (organisation, decision to be made)
o Methodology (how you picked the approach you did - e.g. suitability of data, nature of problem, how you identified the dependent variable)
o Description of the BI solution data mining approach (justification of decision)
o Presentation of the visualization of your data

Please let your tutor know if your team has any special requirements for their presentation (e.g., laptop, speakers). NOTE: Your team will have access to a data projector and an internet connection. HINT: Be careful if you are accessing the internet or other sites as technical difficulties could seriously hamper your presentation (and marks).

Attachment:- default of credit card clients.rar

Reference no: EM131692751

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Reviews

len1692751

10/26/2017 8:15:05 AM

Communication II: Written Report lacks an overall Report is organized and clearly Report is well organized and organization. Reader has to written for the most part. In clearly written. The underlying make considerable effort to some areas the logic or flow of logic is clearly articulated and understand the underlying logic ideas is difficult to follow. Words easy to follow. Words are and flow of ideas. Diagrams are are well chosen with some chosen that precisely express absent or inconsistent with the minor exceptions. Diagrams are the intended meaning and text. Grammatical and spelling consistent with the text. support reader comprehension. errors make it difficult for the Sentences are mostly Diagrams or analyses enhance reader to interpret the text in grammatical and only a few and clarify presentation of ideas. places Some incorrect spelling errors are present but Sentences are grammatical and referencing they do not hinder the free from spelling errors. reader.references are relevant references are relevant and and correctly referred to in the correctly referred to in the text text

len1692751

10/26/2017 8:14:49 AM

Communication I: Visualisation The report includes no or few The report includes The report includes a number of visualizations with scant visualizations that take into thoughtful visualizations that explanation of how these account design principles used take into account design visualizations would help in on the course. Some principles used on the course decision making in the explanation is given as to how including appropriate data organization of interest. such visualizations would help visualizations with dashboard in decision making in the design. An explanation is given organization of interest. as to how such visualizations would help in decision making in the organization of interest.

len1692751

10/26/2017 8:14:32 AM

Developmental: Examines relevant development, implementation, organizational or business issues in the development of your SAS Process flow, and generates valid conclusions/decisions from the results Solution is incomplete or Solution/decision is reasonable; Recommended solution is inappropriate method used. further analysis of some of the based on stated criteria, Many criteria were ignored. The alternatives may have led to analysis and constraints. The data mining method and different recommendation. The data mining process flow, and decisions made in developing data mining process flow, and decisions made in its the process flow are not fully decisions made in its development are fully listed and explained. development described explained. The data mining explained. The data mining method used is explained and method used is explained. appropriately referenced.

len1692751

10/26/2017 8:14:16 AM

Design: Identification of constraints/limitations economic, environmental etc. Few or no constraints are identified or some constraints are identified but not accurately analyzed. Little explanation of applicability of the data to the task described is given Most constraints are identified; some are not adequately addressed or accurately analyzed. Explanation of applicability of the data to the task described is given All relevant constraints are identified and accurately analyzed. Explanation of applicability of the data to the task described is given Conceptual Understanding: Explain how the nature of the data leads to the data mining approach, suggest alternate approaches Only one analysis alternative is considered. Inappropriate analyses are selected and/or major procedural and conceptual errors are made. At least two alternatives are considered. Appropriate analyses are selected but analyses include some minor procedural errors. The target and other variables are identified where appropriate.

len1692751

10/26/2017 8:13:44 AM

Novice Competent Proficient Objectives: Identify measurable project objectives Some attempt is made at identifying objectives All major objectives are identified but one or two minor ones are missing or priorities are not established. Identifies project objectives All significant major and minor objectives are identified and appropriately prioritized. Background: Describes decision making situation. Identifies relevant and valid information to support decision making Insufficient information is obtained and/or sources lack validity. Design recommendations are not supported by information collected. Sufficient information is obtained and most sources are valid. All relevant information is obtained and information sources are valid. Design recommendations are well supported by the information.

len1692751

10/26/2017 8:11:14 AM

Assessment criteria and marking scheme The team report will be evaluated on the quality of the work undertaken Style: report well presented (e.g executive summary, introduction, main body and conclusions) • Theme: report has a clear focus (main theme) and develops a clear logical argument • Conceptual understanding: report demonstrates an excellent understanding of the topic • Developmental: quality of report in examining relevant development, implementation, organizational or business issues • Thoughtful visualization of data taking into account design principles learnt on the course • Research: references are relevant and correctly referred to in the text (including page number) and are included in the Bibliography. Providing each member of the team contributes equally, all team members will receive the same mark for the report (maximum 25%). Please be aware that peer evaluations may affect your final mark.

len1692751

10/26/2017 8:10:56 AM

PLEASE NOTE: • Your report must not exceed 3000 words, including appendices and references. • Please clearly indicate the total word count on your report’s title page. • HINT: You may have heard of the saying, “A picture is worth 1000 words”. Therefore, graphs, tables and drawings are encouraged. When used effectively, they are a useful tool for representing key points (and replacing words). • As this is a team assignment, all team members are expected to discuss the project together and contribute equally. A peer review among team members must be completed. • Your assignment is due 23:59 hours (11.59 pm). This is a firm deadline.

len1692751

10/26/2017 8:10:37 AM

{Related to this project you will carry out an individual research proposal this is designed to give you sufficient background to assist the team in brainstorming ideas for the final proposal, and to develop your understanding of the theory behind business analytics} You must strictly adhere to word and page guidelines. Failure to do so will incur a penalty. Date Deliverables 25 Notification of team details and project title 3 Individual Project Research Proposal (see separate document) 20 (Friday) Final Report (by 11:59 pm via Blackboard) 9-18 Team Presentations during practical time; venue to be advised

len1692751

10/26/2017 8:10:25 AM

For this assignment, you are required to work in a team of 4 students to undertake research, prepare a report and make a presentation. The assignment involves a presentation which will occur on one of the following days: 9th, 11th, 16th or 18th. Presentations will be scheduled in the tutorial that the majority of your team attend. The schedule will be published as soon as all teams are identified This team assignment is designed to provide you with an opportunity to gain hands-on skills with Business Analytics software, specifically SAS Enterprise Miner, SAS Enterprise Guide and tableau. It consists of two parts (see full details below). In brief, your team will: 1. Identify an organisation/problem, prepare a project plan and implement a model solution. 2. Present your solution to the class during practical sessions.

len1692751

10/26/2017 8:09:57 AM

this is hendo and i need help with my SAS assignment. attached is the assignment description, marking rubric, and the dataset. for the assignment description, just focus on part 1 which is the DATA DRIVEN DECISION MAKING WITH SAS ENTERPRISE MINER. in the part 1, there will be the requirement for the essay. I just want to make sure every requirements is met right? Deadline, Word counts, Format, SAS and Tableu, and I need the SAS and Tableu files as well.

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