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Explain the most common data mining methods that can be used in business be with real world examples.

Words: 278
Pages: 2
Subject: Management

TASK DESCRIPTION

(2500 words)Using the Superstore data set provided. determine the decline in sales/profits over the years, and evaluate the use of Excel for pie-processing the data. analysing the data and visualising the data. You will iiNo need to demonstrate how you can do this practically with the use of any one of Excel functions such 9s. IF, LOOKUP PIVOY TABLES. charts and graphs.

1500 words
Part 2 40% of 75%

You are an intern at Nutritionist centre ‘Smile clinic’, who has been tasked to analyse customers data to see whether they eat rice in their daily meal for health and nutrition reasons. The clinic has a copy of Microsoft Excel and has just downloaded a free copy of the open source SPSS data mining software. The company has used Microsoft Excel before but not SPSS. You need to produce a reportsiving an evaluation on how many customers of the Smile Clinic do eat rice. How many customers and Male and Female? Also, what is the Mean and Median of the a4es in the data. Further, what is the Mean & Median of participants that do eat rice. Show findings on Pie, Bar or Histogram charts. The dataset is provided in xis and csv format: smile__clinic.xis,

2.1 Using to smile_clinic.cSv provided in conjunction with SPSS, give a specific example of clustering (i.e.: K-mans). Show your workings with screenshots and explain your findings.

2.2 Explain the most common data mining methods that can be used in business be with real world examples.

2.3 You will need to discuss the advantages/disadvantages of SPSS over Excel. This should he a mix of theoretical arguments as well as practical arguments.
1000 words