A Data Analytics Project for retail company online essay editor

In this assignment you need to develop a project proposal that would use data analytics methods to address a problem for a company. Choose one of the areas from the table below. Formulate a specific business problem in that area and make up the specific details of the company yourself. I choose Sales and marketing.

Assignment 1: the data analytics consultant

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In this assignment you need to develop a project proposal that would use data analytics methods to address a problem for a company. Choose one of the areas from the table below. Formulate a specific business problem in that area and make up the specific details of the company yourself.

 

This assignment is individual work.

 

The project proposal is oriented towards a client to provide funding to support such projects in science, business and technology. The funding is issued on a competitive basis, so the aim of your proposal is to convince the client to fund your project. A good proposal communicates the importance of the problem, makes a strong case that the proposer (i.e. you) knows how to go about solving the problem and leaves the impression that you would be successful if you were given the money.

 

The project proposal is limited to 10 pages and should include the following:

 

• Project title

 

Give a title that describes what the project seeks to do.

 

• Your name and student ID

 

Remember to provide these so that I know who to give the marks to!

 

• Section 1: Aims, objectives and possible outcomes.

 

Provide  a  clear  statement  of  the  aims  and  objectives  of  the  data  analytics

study  and  the  possible  outcomes  in  terms  of  discovered  knowledge  and  its

 

potential application towards solution of the problem. In this section you need to discuss the business problem.

 

• Section 2: Background.

 

In  this  section  you  should  include  the  background  information  to  the problem, including the approaches that have been used so far by other researchers. You will need to do some research into how other people have tried to solve the problem. This section should demonstrate to the client that you have a clear picture of what is happening in the field and how similar problems have been approached so far. It is even better if you can point out deficiencies in how others have tried to solve the problem and link that to your proposal. Do not forget to refer to the sources of the information that you have used in your References section.

 

• Section 3: Data analytics scenario and methodology.

 

This section should take into account the CRISP-­‐DM methodology. Here you discuss the data analytics problem you have formulated from the business problem. In this section you should:

 

o formulate the problem as a data mining problem and identify the data analytics tasks;

o formulate  the  data  collection  and  organisation  strategy  (what  kind  of data,  how  to  record it,  format(s) in  which it  is  preserved, integration

issues, and, if applicable, changes in current data collection and organisation strategies) relevant to the objectives and the possible outcomes of the project;

o briefly discuss some of the data mining method(s) that might be used;

o briefly consider how the results will be evaluated with respect to the

project objectives;

o briefly consider how to deploy the results into the business.

 

Your proposal will benefit if you include examples of data, similar to the one that you plan to collect. Include also examples of the results that the data mining methods produce from these data, illustrating their applicability to the problem. You may illustrate your proposal with examples of what you can get out of the tools for the type of data that you address -­‐   if that is done correctly then it will definitely convince the client that you know what you are talking about.

 

• Section 4: Plan and timetable.

 

In this section you should provide details about the plan to run the project, including a timeline and a budget that has the project completed (if necessary consider possible contingencies).

 

• References

 

List the references for information used in the background section in Harvard format.

 

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