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Task 1 -

Task 1.1) Identify from the existing literature and discuss the relevant decision making theories and frameworks which would inform a deeper understanding of the decision making process in organisations (about 700 words)

Task 1.2) Provide a comprehensive definition of data driven decision making and explain briefly how your definition has been informed by specific literature on data driven decision-making (about 150 words)

Task 1.3) Based on an understanding of how decisions are made in organisations, discuss how changing organisational culture would be important for Company XYZ to successfully make the transition to a data driven decision making paradigm (about 500 words)

Task 2 - Patient Health data set

Task 2.1 Conduct an exploratory data analysis of patient-health.csv

Statistics Tab in RapidMiner - understand the characteristics of each of the variables for the data set Correlation matrix, Weight by Correlation, Weight by Chi Square Statistics Identify outliers - Detect Outliers

Task 2.2 Build Decision Tree - Decision Tree Rules

Task 3 - Deaths Climbing Mt Everest

First thing - use of number of records so that you get an accurate count of deaths and a starting point for your data presentation in Tableau, note no_deaths variable is simply a running count of deaths attributable to climbing Mt Everest since 1920 to 2016

Three views of the MtEverestDeaths.xlsx data set in Tableau - this can be a Table View or a Graph View in Tableau

Title Page for Assignment Report -

Table of Contents

Body of report - main sections and subsections for assignment 2 tasks and sub tasks so

Task 1 will be a main heading with appropriate sub headings etc....for each sub task such as Task 1.1, Task 1.2 etc..

Task 2 ...

Task 3 ....

List of References

List of Appendices

You need to submit two files for Assignment:

1. Assignment Report for Tasks 1, 2 and 3 in Word document format with the extension .docx

2. Tableau packaged workbook with the extension .twbx contains three required Text Table / Graph views for Task 3.

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