Create a maximum of 3 page paper detailing a business situation that you are familiar with and provide analysis regarding the situation (Essay Sample)

Business Situation Analysis Department name, Institution name Course number: Course name Instructor’s name Due date Business Situation Analysis One relevant business situation I am familiar with and can apply the skills I learned in the course to analyze is the customer churn problem in a telecom company. Customer churn occurs when the business does not meet consumer expectations and loses the customer to a competitor (Jamjoom, 2021, p. 2). It is a crucial telecom company metric, as losing clients can hurt the enterprise's profitability and revenue. The paper will explore the business problem in detail, explain how to perform data analysis using skills obtained from the course and demonstrate a way to present data in the paper. Additionally, it will recommend the path moving forward based on the analysis. Detail of Business Problem A telecom company is experiencing high customer churn rates, impacting its profitability and revenue. The business offers services like data, video, and voice to business and residential customers. The company has realized that some of its loyal consumers are switching to other service providers and are stopping purchasing its products. Therefore, the business wants to know the reason for the high churn rates and take appropriate actions to lower or eliminate them. Data Analysis from Skills Learned in Our Course Data visualization, exploratory data analysis, and predictive modeling are techniques that I can use to analyze the data and identify the factors that cause the high customer churn rates. The first step is collecting relevant data, such as customer usage patterns, satisfaction ratings, and demographics. After this, I can use the exploratory data analysis skills I learned from the course to identify the trends that are churn related. The second step involves using predictive modeling techniques such as decision trees, random forests, or logistics regression to create a model that accurately predicts customer churning likelihood (Kiguchi et al., 2022, p. 1). These models can assist in identifying the core factors contributing to churn and offer insights into which consumers are at the highest leaving risk. The final step will use data visualization methods such as scatter plots, bar charts, and heat maps to present the analysis findings concisely. Data Presentation in the Paper The analysis has identified several factors that lead to customer churn in the telecom company. These features include poor network quality, low customer satisfaction ratings, high prices, and inadequate customer support. There is a predictive model that can assist the business in identifying the customers who are at the highest leaving risk. The analysis creates a visualization that spotlights the core insights to present the findings accurately. These visualizations include a heat map showing churn distribution across various customer segments, scatter plots illustrating the relationship between churn and price, and a bar chart demonstrating the most popular customer complaints reasons. Recommendation on Path Moving Forward Based Upon the Data Based on the findings above, the analysis recommends that the telecom company should take several steps to eliminate or reduce customer churn, and they include: * Improving the network quality: The company should invest immensely in upgrading and updating its netwo...