Three separate documents are required for this assignment: Submit: (1) 300 word Executive Overview (2) Individual Presentation (in PowerPoint format) (3) Speaker’s notes in APA format with citations and references PART ONE: Summarize the that includes (a) discovery/business problem framed, (b) initial hypotheses, (c) data and scope, (d) model planning and analytic technique, (e) result and key findings, and (e) business impact PART TWO: Create to an analytics plan . Note: Yore Blends (YB) is a fictional online company dedicated to selling subscription-based traditional spice blends coupled with additional complementary products such as gifts, kitchen utensils, and eco-friendly storage options. In the long term, they aspire to growing through mergers and acquisitions which requires a strong customer base and steady revenue. In the short turn, they are concerned about customer churn (the percentage of customers that have stopped buying their products and services). Customers seem to stop ordering products and/or using the service after several months. By targeting customers who are at risk for churn customer attrition can be reduced by 16% Customer account data for previous 24 months Purchase the answer to view it

Executive Overview

Yore Blends (YB), a fictional online company dedicated to selling subscription-based traditional spice blends and complementary products, is facing a challenge of customer churn. Customer churn refers to the percentage of customers who have stopped buying products and using services after a certain period. YB has observed that customers tend to stop ordering products and using their services after several months.

The business problem at hand is to reduce customer churn and increase customer retention in order to build a strong customer base and generate steady revenue. By targeting customers who are at risk for churn, YB aims to decrease customer attrition by 16%.

To tackle this problem, an analytics approach is proposed. This involves the use of data and analytical techniques to gain insights, develop models, and make informed decisions. The analytics plan will consist of various stages, including discovery of the business problem, framing initial hypotheses, collecting and analyzing relevant data, planning the model and analytic technique, deriving results and key findings, and assessing the potential impact on the business.

The first stage involves the discovery of the business problem and framing it in a suitable context. YB has identified customer churn as a major concern and wants to understand the factors that contribute to it. Initial hypotheses are then formed based on prior knowledge and assumptions.

The second stage involves the collection and analysis of relevant data. YB will gather customer account data for the previous 24 months to understand the behavior and patterns of customers who have churned and those who have not. This data will provide insights into the factors that may be influencing customer churn.

The third stage focuses on planning the model and analytic technique to be used. Various analytical methods, such as predictive modeling and machine learning algorithms, can be employed to predict customer churn. The choice of technique depends on the nature of the data and the desired outcomes.

The fourth stage involves executing the planned model and deriving results and key findings. The data analysis will provide insights into the factors that contribute to customer churn. These findings will help YB identify the customers who are at risk of churn and take proactive measures to retain them.

The final stage assesses the business impact of the findings and recommendations. By targeting at-risk customers and implementing appropriate retention strategies, YB aims to reduce customer attrition by 16%. This reduction in churn will lead to a stronger customer base and a more stable revenue stream, aligning with YB’s long-term goal of growth through mergers and acquisitions.

In conclusion, the proposed analytics plan aims to address Yore Blends’ challenge of customer churn. By leveraging data and analytical techniques, the plan seeks to identify at-risk customers and implement effective retention strategies. The ultimate goal is to reduce customer attrition, build a strong customer base, and generate steady revenue.