Data Science and big data analysis

Running Head: EXECUTIVE OVERVIEW 1

EXECUTIVE OVERVIEW 1

Executive Overview

Student’s Name

Institutional Affiliations

Yore Blends (YB) is a fictitious online business devoted to the selling of monthly fee-based traditional spice mixes and other complementary items. In the future, they plan to expand through acquisitions, which require a large consumer base and stable revenue. In the short term, they are worried about the consumer churn (the number of consumers who have decided to buy their goods and services). The key issue of the business is created by the operation of the client churn. Customers have quit buying the goods and services provided by Yore Blends. On the basis of the issues of the organization, a theory was created to better explain the causes and the causes for the issues found. On the basis of the theory, Yore Blends is faced with a possible client turnover due to poor customer relations. It is also likely that their customers may not receive value for the goods or services they have bought (Hazen, 2014). A further theory is that they are unable to interact efficiently with their customers about product changes. Finally, it was believed that the issue was explained by natural factors.

In order to better understand and fix this problem, it was important to use correct data for accurate data. Relevant data points were thus always had to perform churn statistics. The corporation's data was obtained from the billing system, the company's business range, customer feedback and customer profile centered on customer service. This information allowed the development of its most effective analytical methods to solve the issue. A model of logistic regression was used to create a predictive model. The findings of the study were then confirmed using a regular spontaneous sub-sampling methodology.

Results findings indicated that the organization would consciously use all networks: mobile, e-mail, website, live conversation, and social media (Salloum, 2016). The important input on in what way well they represent their clients is just a mobile call, an e-mail or a review. Another way to avoid turnover is to constantly involve consumers with the product. Comprehending the possible effects of client turnover allows the business to implement approaches to avoid the loss of clients and to maximize product losses.

References

Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.

Salloum, S., Dautov, R., Chen, X., Peng, P. X., & Huang, J. Z. (2016). Big data analytics on Apache Spark. International Journal of Data Science and Analytics, 1(3-4), 145-164.