Reference no: EM133955829
Data Driven Strategic Decision Making
Assessment type - Data Analysis
Purpose: This assessment is designed to prepare students to be job-ready in data-driven strategic decision making through comprehensive data analysis. In addition to learning various strategic frameworks, students will understand how to use different analysis. They will explore how strategic decision making is supported by data, enabling them to formulate informed business strategies and recommendations.
Task Details: Analyse the role of continuous data in strategic decision making by examining the dataset provided in Moodie. Use appropriate statistical techniques to identify patterns and conduct analysis. Your report should also be of approximately 500 words (excluding tables), detailing the procedures followed and the analysis conducted. This assignment aims to deepen understanding of how continuous data influences strategic decisions.
Individual Analysis Report
Assessment - Data Analysis
Assessment - Conduct the data analysis and submit a 500-word report (excluding tables)
A company is analyzing how factors like education level, work experience, and advertising spend affect sales performance and customer satisfaction. Get professional assignment help from qualified experts—on time, every time.
Variables:
1. Employee ID (Categorical): A unique identifier for each employee.
2. Education Level (Categorical): Represents the education level of the employee (High School, Bachelor's, Master's).
3. Work Experience (Years) (Numerical): The number of years of work experience.
4. Sales Performance (Score) (Numerical): A performance score ranging from 0 to 100.
5. Customer Satisfaction (Rating) (Numerical): Satisfaction rating ranging from 1 to 10.
6. Advertising Spend ($) (Numerical): Amount spent on advertising for each employee's territory.
Analyze the following data problems
Question 1: Analyze the relationship between Education Level and Sales Performance with cross tab
Question 2: Analyze the correlation between Work Experience and Sales Performance with formula and diagram
Question 3: Conduct a simple linear regression to predict Sales Performance based on Advertising Spend.
Question 4: Conduct a multiple regression to predict Sales Performance based on both Work Experience and Advertising Spend